Milena Živković | Artificial Intelligence in Medicine | Best Researcher Award

Posted on by sciencefather

Ms. Milena Živković | Artificial Intelligence in Medicine | Best Researcher Award

Research Associate| University of Kragujevac, Faculty of Science, Serbia

Milena Živković is a Research Associate at the University of Kragujevac, Faculty of Science, Serbia, with a background in physics and a research focus on the integration of artificial intelligence into medical physics and science education. Her expertise lies in AI-supported educational systems, Monte Carlo simulations in radiotherapy, and environmental radioactivity. With over 38 published papers, her work bridges physics, machine learning, and curriculum innovation. Milena is recognized for her mentorship of gifted students, contribution to interdisciplinary AI-based learning models, and international collaborations with researchers in Europe and the Middle East. She has co-authored dosimetric simulation software for cancer treatment optimization and earned accolades such as Best Oral Presentation Awards at international conferences. As an active member of the Serbian and German Physical Societies, she fosters science communication through national outreach projects and educational initiatives. Her contributions span both academic excellence and impactful community-based science promotion efforts.

Profile

🎓 Education

Milena Živković earned her formal education in physics, culminating in specialized research focused on medical physics, radiation dosimetry, and educational technology. She has completed advanced academic training in English for Academic Communication and Python programming, including Stanford’s “Code in Place.” She holds a Cambridge English Certificate and multiple certificates from the University of Kragujevac in academic writing and pedagogy. Her achievements during her student years include receiving the Annual Award for Best Student from 2015 to 2019, reflecting both academic excellence and extracurricular engagement. Additionally, she has participated in numerous interdisciplinary workshops, competitions, and science communication events, contributing to both her intellectual and pedagogical growth. With a strong foundation in applied physics, her academic journey has been characterized by the seamless integration of theoretical knowledge and practical research, which she continues to expand through post-academic training, conference participation, and interdisciplinary research collaboration with clinical and educational institutions.

🧪 Experience

Milena Živković has significant experience as a Research Associate at the University of Kragujevac, where she combines artificial intelligence with physics education and medical applications. Her research includes machine learning models for radiation dosimetry, classification systems in physics education, and anomaly detection in environmental radioactivity. She serves as a section editor and reviewer for journals like Imaging and Radiation Research and Radiation Science and Technology. Milena is also a contributor to national gifted education programs, curriculum development initiatives, and AI-assisted learning models. She has collaborated with international institutions, including projects with the Clinical Center Kragujevac and partners from Iraq, enhancing the practical application of her research. She has guided STEM projects for youth and mentored students in high school competitions. Her book on Monte Carlo simulations is used in academic and clinical contexts. Her scientific outreach projects further amplify her impact across the academic, educational, and public spheres.

🏅 Awards and Honors

Milena Živković has been the recipient of numerous awards recognizing both academic and community contributions. She received the Best Researcher Award at the University of Kragujevac in 2023 and multiple Best Oral Presentation Awards at international conferences in gynecology, women’s health, and ophthalmology. She also won the Bridge of Mathematics First Place Projects (2023, 2024), highlighting innovative physics education. From 2015 to 2019, she was honored with the Annual Best Student Award and continues to receive high praise for promoting science through projects funded by Serbia’s Center for the Promotion of Science. These include thematic campaigns like Brian May and the Queen of Physics, Our Air = Our Health, and Work + Active = Radioactive. Additionally, she holds advanced training certifications in pedagogy, communication, academic writing, and programming. Her dedication to science communication, youth mentorship, and educational innovation has made her a strong contender for the Young Scientist or Best Researcher Award.

🔬 Research Focus

Milena Živković’s research sits at the intersection of artificial intelligence, medical physics, and education technology. She focuses on developing machine learning-based models for radiation dose analysis, anomaly detection in environmental radioactivity, and AI-assisted problem classification in physics education. Her contributions to the FOTELP-VOX Monte Carlo platform enable precision 3D dose distribution modeling, now applied in clinical settings. She also investigates the ecological effects of radionuclide transfer and food safety. Milena’s interdisciplinary work includes collaborations with philosophers, clinicians, educators, and AI developers to improve curriculum delivery and treatment outcomes. She actively integrates AI into educational strategies to support gifted students and has co-authored software tools used in radiotherapy optimization. Her studies are not only technical but are aimed at real-world impact—ensuring safer radiation practices, informed public health strategies, and accessible science education. Her research promotes knowledge translation, making complex physics applicable to both education and healthcare.

✅ Conclusion

Milena Živković exemplifies a new generation of researchers merging artificial intelligence with applied physics to transform education, healthcare, and science communication. Through interdisciplinary projects, academic excellence, and outreach initiatives, she continues to redefine how science serves society while mentoring future innovators and advancing clinical safety and educational equity.

Publications

  • FOTELP-VOX-OA: Enhancing radiotherapy planning precision with particle transport simulations and Optimization Algorithms

    Computer Methods and Programs in Biomedicine
    2025-08 | Journal article
    DOI: 10.1016/j.cmpb.2025.108838
    CONTRIBUTORS: Milena Zivkovic; Filip Andric; Marina Svicevic; Dragana Krstic; Lazar Krstic; Bogdan Pirkovic; Tatjana Miladinovic; Mohamed El Amin Aichouche

  • FOTELP-VOX 2024: Comprehensive overview of its capabilities and applications

    Nuclear Technology and Radiation Protection
    2024 | Journal article
    DOI: 10.2298/NTRP2403212Z
    CONTRIBUTORS: Milena Zivkovic, P.; Tatjana Miladinovic, B.; Zeljko Cimbaljevic, M.; Mohamed Aichouche, E.A.; Bogdan Pirkovic, A.; Dragana Krstic, Z.

  • Radionuclide contamination in agricultural and urban ecosystems: A study of soil, plant, and milk samples

    Kragujevac Journal of Science
    2024 | Journal article
    DOI: 10.5937/KgJSci2400011A
    CONTRIBUTORS: Mohamed Aichouche, E.A.; Mihajlo Petrović, V.; Milena Živković, P.; Dragana Krstić, Ž.; Snežana Branković, R.

  • Development of DynamicMC for PHITS Monte Carlo package

    Radiation Protection Dosimetry
    2023-11-13 | Journal article
    DOI: 10.1093/rpd/ncad278
    Part of ISSN: 0144-8420
    Part of ISSN: 1742-3406
    CONTRIBUTORS: Hiroshi Watabe; Tatsuhiko Sato; Kwan Ngok Yu; Milena Zivkovic; Dragana Krstic; Dragoslav Nikezic; Kyeong Min Kim; Taiga Yamaya; Naoki Kawachi; Hiroki Tanaka et al.

Nathan Robert Wall | Medicine | Excellence in Research Award

Posted on by sciencefather

Dr. Nathan Robert Wall | Medicine | Excellence in Research Award

Dr. Nathan R. Wall is an accomplished academic, biomedical researcher, and military officer. He is currently an Associate Professor of Medicine at Loma Linda University School of Medicine and holds multiple leadership roles in research, oncology education, and national defense. With advanced degrees in biology, cancer biology, and business administration, he has dedicated his career to cancer research and military medical operations. Dr. Wall has served in multiple deployments with the California Army National Guard, including missions in Afghanistan, Poland, and Iraq. His military and academic excellence is recognized through numerous awards and honors. Dr. Wall combines rigorous research in molecular medicine with a passion for leadership, education, and national service. His extensive experience in academia, clinical research, and military command uniquely positions him at the intersection of science and strategic operations, contributing to both medical advancement and national security.

Profile

Education 🎓

Dr. Nathan R. Wall is currently pursuing a Master of Strategic Studies at the U.S. Army War College (2024–2026). He earned his MBA with a focus in Management from the University of Redlands (2006–2008), and a Ph.D. in Cancer Biology from Wayne State University (1996–2000), where he also completed an M.S. in Molecular Biology and Genetics. Prior to that, he obtained an M.S. in Biology (1992–1995) and a B.S. in Biology with a minor in Chemistry (1987–1991) from Walla Walla College (now Walla Walla University). His graduate training included mentorship under leading scientists like Dr. Ayad M. Al-Katib and Dr. Joan M. Redd. Across disciplines—from molecular biology to strategic leadership—Dr. Wall’s education reflects a commitment to interdisciplinary excellence, equipping him with the skills to navigate both biomedical research and complex military operations with strategic insight.

Experience 👨‍🏫

Dr. Nathan R. Wall has held academic appointments at Loma Linda University since 2008, currently serving as Associate Professor of Medicine in the Division of Human Anatomy. He also directs Research and Development at the James M. Slater Proton Treatment & Research Center and is Oncology Thread Director at the School of Medicine. Previously, he served in the Department of Biochemistry and Center for Health Disparities. Since 2008, Dr. Wall has simultaneously served in the California Army National Guard, rising through the ranks and completing deployments to Afghanistan, Poland, and Iraq in key command roles. He has also contributed as a scientific advisor for biotech firms and participated in Department of Defense medical research review panels. His interdisciplinary experience spans military medicine, molecular oncology, academic leadership, and national defense, making him a unique leader who bridges science, strategy, and service.

Awards & Recognitions 🏅

Dr. Wall’s exemplary service has earned him numerous military and civilian accolades. These include the Bronze Star Medal, NATO Medal, Afghanistan Campaign Medal, Global War on Terrorism Service Medal, and the Honorable Order of Saint Martin. He’s received multiple Army Commendation and Achievement Medals, along with California-specific honors like the California Medal of Merit and Drill Attendance Ribbon with multiple stars. Notably, he was recognized as “Citizen Warrior of the Month” by California ARNG Magazine in August 2018. Dr. Wall has also been honored with plaques and certificates from NATO, Bulgarian Joint Forces, and various military medical programs. His academic achievements include tenure at Loma Linda University and leadership roles in key training inspections. These honors reflect his unwavering commitment to excellence, leadership in medical readiness, and profound impact in both academic and military sectors.

Research Interests 🔬

Dr. Wall’s research focuses on cancer biology, with specific expertise in molecular mechanisms of disease, targeted therapies, and translational oncology. His work bridges basic science and clinical application, especially in the context of proton therapy and health disparities in underserved populations. At Loma Linda University, he leads interdisciplinary teams addressing tumor microenvironments, cancer signaling pathways, and innovative therapeutics. Dr. Wall also contributes to Department of Defense research as a peer reviewer, ensuring scientific rigor in funded medical studies. His research often integrates his military background, exploring how stress and trauma-related factors influence cancer biology and immune responses. As Director of R&D at a leading proton treatment center, he’s advancing precision medicine in oncology. Dr. Wall’s work is marked by its practical implications, scientific depth, and commitment to improving patient care—particularly for populations affected by health inequities or involved in military service.

Publications

  • Seco-Duocarmycin SA in Aggressive Glioblastoma Cell Lines

    International Journal of Molecular Sciences
    2025-03-19 | Journal article
    DOI: 10.3390/ijms26062766
    CONTRIBUTORS: Ann Morcos; Yeonkyu Jung; Ryan N. Fuller; Antonella Bertucci; Amy Nguyen; Quanqing Zhang; Tobias Emge; Kristopher E. Boyle; Nathan R. Wall; Marcelo Vazquez

  • A Comprehensive Review of the Antitumor Properties and Mechanistic Insights of Duocarmycin Analogs

    Cancers
    2024-09-27 | Journal article
    DOI: 10.3390/cancers16193293
    CONTRIBUTORS: Ann Morcos; Yeonkyu Jung; Joab Galvan Bustillos; Ryan N. Fuller; David Caba Molina; Antonella Bertucci; Kristopher E. Boyle; Marcelo E. Vazquez; Nathan R. Wal

  • A CTB-SARS-CoV-2-ACE-2 RBD Mucosal Vaccine Protects Against Coronavirus Infection

    Vaccines
    2023-12-18 | Journal article
    DOI: 10.3390/vaccines11121865
    CONTRIBUTORS: Béla Dénes; Ryan Fuller; Wayne Kelin; Tessa Levin; Jaipuneet Gil; Aaren Harewood; Márta Lőrincz; Nathan Wall; Anthony Firek; William Langridg

Jim Jinn-Chyuan Sheu | Precision medicine | Best Researcher Award

Posted on by sciencefather

Dr. Jim Jinn-Chyuan Sheu | Precision medicine | Best Researcher Award

Dr. Jim Jinn-Chyuan Sheu is a professor at the Institute of Biomedical Sciences, National Sun Yat-sen University, Taiwan, and an adjunct professor in several prestigious institutions. With a PhD in Life Science from National Tsing-Hua University, his academic and industrial experiences span cancer genetics, precision medicine, and biopharmaceuticals. He has held positions at Johns Hopkins Medical Institutions and Development Center for Biotechnology. His research explores molecular mechanisms underlying diseases such as cancer and endometriosis, employing genome-wide technologies to identify biomarkers and drug targets. He actively contributes to biomedical innovation, translational medicine, and mentorship. Dr. Sheu has received numerous national and international awards, including the Wu-Da-You Memorial Award and Sigma Xi membership. He is also an ambassador for the European Association for Cancer Research. As a prolific researcher and reviewer, he plays key roles in research councils and institutional review boards, helping shape scientific policy and translational biomedical advancements in Taiwan and beyond.

Profile

Education 🎓

Dr. Sheu earned his Ph.D. in Life Science from National Tsing-Hua University, Taiwan, in 2002, where he focused on advanced molecular biology, gene expression regulation, and biomedical research. His doctoral training provided a strong foundation in cancer genetics and systems biology. Earlier, he completed his B.S. in Biology (now Life Science) from Fu-Jen University in 1994, building core competencies in biological sciences and cellular mechanisms. These educational milestones equipped him with theoretical knowledge and technical skills in genomics, proteomics, and cellular signaling, which are now reflected in his research on chromatin remodeling, cancer biomarkers, and therapeutic targets. Through rigorous academic mentorship, Dr. Sheu gained early exposure to multidisciplinary research and critical analysis, fostering his interest in precision medicine. His academic background laid the groundwork for his contributions to biomedical research, drug development, and translational science. These formative years in Taiwan’s top universities underpin his long-standing excellence in scientific discovery and innovation.

Experience 👨‍🏫

Dr. Sheu’s professional experience includes faculty roles and research leadership across academia and industry. He has served as a Professor at National Sun Yat-sen University since 2014 and previously held faculty roles at China Medical University. Internationally, he was a Research Fellow at Johns Hopkins Medical Institutions (2004–2006). Between 2003–2004, he worked in various leadership positions at the Development Center for Biotechnology, including Director of Protein Drugs Division and Project Leader. His postdoctoral and early research roles included work with Dr. Tse-Wen Chang and Dr. Carmay Lim at Academia Sinica. His academic leadership includes roles such as Associate VP of R&D, Chair of the Institute of Biomedical Sciences, and Director of Research Resources at NSYSU. He has reviewed research proposals for numerous hospitals and institutions, served on IRBs, and guided government research policy. His diverse experience bridges basic science, translational research, and biomedical entrepreneurship with national and global impact.

Awards & Recognitions 🏅

Dr. Sheu has received over 30 prestigious awards. In 2023 alone, he earned the Tien-Te Lee Award, NSYSU Outstanding Faculty Award, and top honors at the 37th Joint Biomedical Conference. He previously received the Prof. Chii-Ruey Tzeng Award, Sigma Xi membership (2021), and EACR Ambassador role (2020). His innovation was recognized by Future Tech Award and the 2020 Smart Life Innovation Competition. His studies were featured as Taiwan Research Highlights and F1000Prime recommendations. He was the 2014 recipient of the Wu-Da-You Memorial Award and the IBC Outstanding Scientific Achievement Award. He received the Medical Young Investigator Award in 2009 and the Best Basic Science Award at Johns Hopkins in 2005. As a government-financed scholar to the U.S., his academic excellence has been internationally recognized. He consistently ranks among Taiwan’s top biomedical researchers, illustrating his impact through award-winning research in endometriosis, cancer stemness, diagnostics, and therapeutic innovation.

Research Interests 🔬

Dr. Sheu’s research focuses on cancer genetics and genomics, endometriosis, precision medicine, chromatin remodeling, cytoskeletal dynamics, cell adhesion and invasion, and mechanotransduction. His lab investigates how abnormalities in gene expression and chromatin structure drive disease progression, especially in gynecologic cancers and endometriosis. By applying genome-wide analysis and bioinformatics, his team identifies disease-driving genes and develops novel diagnostic tools and therapeutic strategies. A key interest is the tumor microenvironment and how cytoskeletal networks and nuclear architecture influence cancer stemness and metastasis. His group explores traditional Chinese medicine compounds and stem cell therapies, advancing integrative approaches to medicine. Antibody and vaccine engineering are also integral to his translational pipeline. Funded by NSTC Taiwan and other institutions, his projects target non-invasive diagnostics and biomarker-based interventions. His long-term vision involves bridging molecular biology, clinical application, and therapeutic innovation to impact patient care and global health through interdisciplinary and precision-driven biomedical science.

Publications

Yun Kang | Mathematical Biology | Best Researcher Award

Posted on by sciencefather

Dr. Yun Kang | Mathematical Biology | Best Researcher Award

Yun Kang is a distinguished Professor of Applied Mathematics at Arizona State University 🏫, specializing in mathematical biology, complex adaptive systems, and nonlinear dynamical systems 🔬📊; with over 70 publications in high-impact journals 📝, Kang’s work bridges theory and modeling to solve biological, ecological, and social questions 🌍; a leader in mathematical research, she also champions women in STEM through mentoring and advocacy 🤝💡; her cutting-edge research, funded by the NSF 💰, explores multiscale modeling in social insects 🐜 and trust dynamics in human-automation interaction 🤖; as a dedicated educator and core faculty member at the Simon A. Levin Mathematical, Computational & Modeling Sciences Center 🧠, she has shaped both academic programs and future researchers 🌱📈.

Profile

Education 🎓

Yun Kang earned her Ph.D. in Mathematics from Arizona State University in 2008 🎓, focusing on mathematical biology 🧪; she completed an M.S. in Pure Mathematics at the University of Arizona in 2004 📐, with special research in random graphs 🔗; her academic journey began with a B.S. in Applied Mathematics from Shanghai Jiaotong University, China 🇨🇳, in 2002, where she concentrated on financial and computational mathematics 💹💻; this academic foundation provided a solid platform for her research into nonlinear systems and biological applications 🌿📊; Kang’s education path reflects global excellence 🌍, interdisciplinary rigor 🧠, and a passion for bridging mathematics with real-world complexity 🌐✨.

Experience 👨‍🏫

Yun Kang’s academic career began as an Assistant Professor at ASU in 2008 🧑‍🏫, after completing her doctorate 🎓; she advanced to Associate Professor in 2014 and became a full Professor in 2019 🌟; from 2016 to 2019, she served as Acting Director/Co-Director of the Simon A. Levin Mathematical, Computational & Modeling Sciences Center 🧠, promoting interdisciplinary collaborations 💡; beyond teaching, Kang holds roles as Core Faculty and Affiliated Faculty at ASU’s School of Mathematical and Statistical Sciences 📚; her career spans leadership, research, mentorship, and advocacy for diversity in mathematical sciences 💪🌸; each role reflects her commitment to both academic excellence and community empowerment 🏅📢.

Awards & Recognitions 🏅

Yun Kang’s excellence is reflected in her NSF-funded research grants 💰, numerous high-impact publications 📝, and her leadership in mathematical biology 🔬; she’s a proud and active member of top organizations: Association for Women in Mathematics 👩‍🔬, American Mathematical Society 📘, Society for Industrial and Applied Mathematics 🧠, and Society for Mathematical Biology 🌿; since 2009, she’s mentored young female mathematicians via the AWM mentor network 🤝💡; her recognition stems from both groundbreaking research and her role as a diversity advocate in STEM 🌸🌍; her distinguished honors underscore her dual commitment to advancing math and empowering future scholars 🌟👩‍🏫.

Research Interests 🔬

Yun Kang’s research bridges nonlinear dynamical systems ⚙️, stochastic models 🎲, and mathematical biology 🧬; she explores complex adaptive systems — from population dynamics 🦌, food webs 🌾, eco-epidemiology 🦠, to social insect colonies 🐜; her NSF-funded work dissects multiscale division of labor in insect societies 🐝; she also models trust dynamics in human-automation interactions 🤖, blending theoretical rigor with real-world relevance 🌎; her contributions illuminate evolutionary processes 🔄, ecological interactions 🌱, and behavioral modeling 🧠; Kang’s approach merges deep mathematical theory with empirical validation 📊, offering new tools for biological, ecological, and social system analysis 🚀📘.

Publications 

Ali Osman | Life Science | Best Researcher Award

Posted on by sciencefather

Dr. Ali Osman | Life Science | Best Researcher Award

👨‍🔬 Prof. Ali Osman Mohamed Osman Khalil is a distinguished biochemist specializing in agricultural sciences. 🎓 He earned his PhD in Biochemistry from Zagazig University, Egypt, in 2012. 🏫 Currently, he serves as a Professor at the Biochemistry Department, Faculty of Agriculture, Zagazig University. 📚 With over 130 international publications and an impressive h-index of 33 (Google Scholar), his research has significantly impacted agricultural biochemistry. 🏅 He has received prestigious awards, including the Egyptian State Prize for Encouragement in Agricultural Sciences (2014) and First Class Scientific Franchise from the President (2017). 🌱 His research focuses on environmentally friendly bioproducts, plant disease control, and biochemical applications in agriculture. 🌍 He is an active member of international scientific societies and serves as an external reviewer for renowned journals. ✨ Prof. Khalil has also collaborated on major scientific projects, contributing to advancements in biochemistry and sustainable agriculture.

Profile

Education 🎓

📜 Prof. Khalil holds a PhD in Biochemistry (2012) from Zagazig University, Egypt, with excellence. 🏆 His academic journey started with a B.Sc. in Agricultural Sciences-Biochemistry (2004), followed by an M.Sc. in Biochemistry (2008), both earned with distinction. 🎯 His studies focused on the biochemical mechanisms in agriculture, leading to his expertise in plant sterols, post-harvest protection, and biochemical applications in food science. 🔬 He has undertaken international fellowships, including INRA-France (2007-2008) and Umeå University-Sweden (2023-2024), enriching his research in clinical microbiology, infection, and immunology. 🌍 His educational background has provided a strong foundation for his pioneering research in agricultural biochemistry and food technology.

Experience 👨‍🏫

🔬 Prof. Khalil has over 20 years of academic experience at Zagazig University, Egypt. 📚 He began as a Teaching Assistant (2004-2008), then progressed to Assistant Lecturer (2008-2012) and Lecturer (2012-2017). 🎓 His expertise led to his promotion as an Assistant Professor (2017-2022) and later Professor (2022-present) in Biochemistry. 🏛️ His teaching covers biochemical applications in agriculture, plant metabolism, and molecular biochemistry. 🏅 He has supervised numerous postgraduate students, fostering the next generation of scientists. 🔍 As a principal investigator and collaborator in several international projects, he has worked on plant disease control, bioproduct development, and oxidation mechanisms. 📑 His editorial contributions include reviewing for top journals like LWT-Food Science and Technology, International Dairy Journal, and the African Journal of Agricultural Research. 🌍 His extensive research and teaching experience have solidified his reputation as a leading expert in biochemistry.

Awards & Recognitions 🏅

🎖️ Prof. Khalil has received numerous awards for his outstanding contributions to biochemistry and agricultural sciences. 🏅 In 2017, he was honored with the First Class Scientific Franchise by the Egyptian President for his scientific achievements. 🏆 He won the Egyptian State Prize for Encouragement in Agricultural Sciences (2014) and the Zagazig University Prize for Encouragement in Agricultural Sciences (2017). 🍏 His research excellence was recognized with the George Steno Award for Best Applied Research in Pomology (2017). 🌍 His global impact in plant biochemistry is further demonstrated by his international fellowships at INRA-France (2007-2008) and Umeå University-Sweden (2023-2024). 💡 As a member of esteemed scientific societies, including the American Chemical Society and Egyptian Botanical Society, he actively contributes to advancing agricultural research. 📚 His accolades reflect his dedication to innovation, sustainability, and scientific excellence in biochemistry

Research Interests 🔬

🌿 Prof. Khalil’s research primarily revolves around biochemical applications in agriculture, including post-harvest disease control, plant metabolism, and sustainable bioproducts. 🧪 His h-index of 33 (Google Scholar) and 132 SCOPUS-indexed publications highlight his impactful work. 🔍 As the Principal Investigator of projects like “Fighting Plant Fungi Post-Harvest Using Environmentally Friendly Bioproducts”, he explores innovative solutions for agricultural sustainability. 🌱 His research extends to plant sterol oxidation, polymerization, and antiviral strategies for plant protection. 📊 His expertise in biochemical pathways and molecular interactions has led to the development of novel biochemical strategies to enhance crop productivity and food safety. 🌍 His international collaborations, including a Spanish-Egyptian research project on molecular modeling, further advance his contributions to biochemistry, plant pathology, and environmental sustainability. ✨ His work bridges biochemistry and agriculture, making significant strides toward sustainable farming solutions

4Publications 

1. Eskandrani, A. A., Alsubaie, N., Bawahab, A. A., Abd-Elhakim, Y. M., Ibrahim, R. E.,
Khamis, T., Osman, A,… & Mohamed, A. A. R. (2025). Whey protein hydrolysate from
camel mitigates hypoxia-induced renal and gill damage in Nile Tilapia: Effects on stress, HIFα, apoptosis, inflammation, and metabolic pathways. Aquaculture, 742256.
2. Alsubaie, N., Mohamed, A. A. R., Metwally, M. M., Khamis, T., Osman, A., Alotaibi, B. S.,
… & Ibrahim, R. E. (2025). Alkalinity exposure induced growth inhibition, intestinal
histopathological changes, and down-regulated nutrient transporter expression in Nile Tilapia:
The ameliorative role of dietary camel whey protein hydrolysates. Comparative Biochemistry
and Physiology Part B: Biochemistry and Molecular Biology, 111074.
3. Alsubaie, N., Ibrahim, R. E., Bawahab, A. A., Mohamed, A. A. R., Abd-Elhakim, Y. M.,
Khamis, T., Osman, A., … & Ghannam, H. E. (2025). Ameliorative role of camel protein
hydrolysates diet against alkaline stress in Oreochrmis niloticus: Hematology, immune
responses and their regulating genes expression, and histopathological assays. Veterinary
Research Communications, 49(2), 79.
4. Dahran, N., Alotaibi, B. S., Abd-Elhakim, Y. M., Ibrahim, R. E., Metwally, M. M., Khamis,
T.,El-Far, A., Osman, A., … & Mohamed, A. A. R. (2025). Effects of camel whey protein
hydrolysate on growth, nutrient metabolism, and tight junction protein gene expression in
Oreochromis niloticus under hypoxia stress. Aquaculture International, 33(2), 137.
5. Elsheikh, M., Osman, A., Edris, S., Dawam, W., Sitohy, M., & Sabeq, I. (2024). Soybean
Glycinin’s Antibacterial Properties Provide a Feasible Natural Alternative for Improving the
Overall Quality and Shelf-Life of Beef Steaks and Combating Foodborne Pathogens. Food
and Bioprocess Technology, 1-16.
6. Amer, S. A., Ibrahim, R. E., Younis, E. M., Abdel-Warith, A. W. A., Osman, A., Davies, S.
J., & Shakweer, M. S. (2025). Potential of using kidney bean (Phaseolus vulgaris L) protein
hydrolysate as a plant protein supplement in Nile tilapia (Oreochromis niloticus) diets: effects
on growth, hematology, histology, and blood biochemical parameters. Aquaculture
International, 33(1), 95.
7. Amer, S. A., Behairy, A., Moustafa, A. A., Eltanahy, A., Younis, E. M., Abdel-Warith, A. W.
A., Osman, A., … & Tolba, S. A. (2024). Effects of dietary Arthrospira platensis phycocyanin
on growth, fatty acid assessment of breast muscles, hematobiochemical, immunological
responses, and hepatic histomorphology in broiler chickens. Journal of Applied
Phycology, 36(6), 3367-3380.
8. Ibrahim, R. E., Elshopakey, G. E., Aly, M. Y., Abdelwarith, A. A., Younis, E. M., AbdElhakim, Y. M., Khamis, T., Osman, A., … & Mohamed, A. A. R. (2024). Camel whey
protein hydrolysate diet mitigates alkaline stress–induced biochemical disorders and restores
the target of rapamycin, MAPK pathway, and autophagy-related gene expression in Nile
tilapia. Aquaculture International, 32(7), 9911-9932.
9. Sitohy, M., Enan, G., Abdel-Shafi, S., El-Wafa, N. A., El-Gazzar, N., Osman, A., & Sitohy,
B. (2024). Mapping pathogenic bacteria resistance against common antibiotics and their
potential susceptibility to methylated white kidney bean protein. BMC microbiology, 24(1),
49.
10. Amer, S. A., Rahman, A. N. A., ElHady, M., Osman, A., Younis, E. M., Abdel-Warith, A.
W. A., … & Ibrahim, R. E. (2024). Use of moringa protein hydrolysate as a fishmeal replacer
in diet of Oreochromis niloticus: effects on growth, digestive enzymes, protein transporters
and immune status. Aquaculture, 579, 740202.
11. Imbabi, T. A., El‐Sayed, A. I., Radwan, A. A., Osman, A., & Abdel‐Samad, A. M. (2024).
Prevention of aflatoxin B1 toxicity by pomegranate peel extract and its effects on growth,
blood biochemical changes, oxidative stress and histopathological alterations. Journal of
Animal Physiology and Animal Nutrition, 108(1), 174-184.

PhongSon Dinh | Gene function analysis | Best Researcher Award

Posted on by sciencefather

Dr. PhongSon Dinh | Gene function analysis | Best Researcher Award

Dr. Dinh Phong Son is a prominent researcher at Duy Tan University, Vietnam, specializing in laboratory medicine and molecular medicine. With a PhD from Guangxi Medical University, China, he is dedicated to advancing the field of molecular biology and medical diagnostics. His work focuses on identifying biomarkers for early disease detection and investigating gene targets for targeted therapies. He actively contributes to scientific advancements in understanding complex diseases such as cancer, diabetes, and cardiovascular diseases. Through his expertise in molecular techniques like CRISPR/Cas9, PCR, and sequencing, Dr. Son plays a vital role in improving medical diagnostics and treatments. 🧬🔬

Profile

Education 🎓

Dr. Dinh Phong Son holds a Doctorate (Ph.D.) in Molecular Medicine from Guangxi Medical University, China, after earning his degree in Laboratory Medicine from Hue University of Medicine and Pharmacy, Vietnam. His educational background has equipped him with the expertise in molecular biology, enabling him to explore complex diseases at a molecular level and work on cutting-edge technologies in the field of gene editing and disease diagnosis. 🎓📚

Experience 👨‍🏫

Dr. Dinh Phong Son has significant experience in molecular medicine, focusing on the development of biomarkers for early disease diagnosis and treatment. With expertise in molecular biology techniques such as PCR, qPCR, CRISPR/Cas9, and sequencing, he has conducted extensive research on diseases like cancer, cardiovascular disorders, and diabetes. His work integrates bioinformatics and molecular assays to understand gene functions and identify potential drug targets. He is actively contributing to scientific publications and advancing the research community’s knowledge in disease diagnostics and therapies. 🔬💡

Research Interests 🔬

Dr. Dinh Phong Son’s research focuses on molecular techniques for disease detection and gene therapy. His current work includes exploring circRNA, miRNA, mRNA, and their role in diseases like coronary heart disease and cancer. Dr. Son is particularly interested in developing diagnostic biomarkers and therapeutic targets for systemic diseases using next-generation sequencing and CRISPR/Cas9. He also investigates the interaction networks between lncRNA, circRNA, miRNA, genes, and proteins, aiming to create molecular-based solutions for precision medicine. His research paves the way for future advancements in molecular diagnostics and personalized therapies. 🔬🧬

Awards & Recognitions 🏅

Dr. Dinh Phong Son’s contributions to molecular medicine have earned him recognition in the scientific community. His research publications, particularly on gene networks and biomarkers in cardiovascular and cancer research, have garnered widespread attention. He is currently a nominee for the Best Researcher Award, reflecting his ongoing commitment to advancing the fields of molecular biology, gene therapy, and disease diagnostics. His work is an important step toward improving public health outcomes through the application of molecular techniques. 🏆🏅

Publications 📚

  • Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis based on MicroarrayData analysis, molecular docking, and dynamic simulation

    Biochemistry and Biophysics Reports
    2025-03 | Journal article
    DOI: 10.1016/j.bbrep.2025.101952
    CONTRIBUTORS: PhongSon Dinh; ChauMyThanh Tran; ThiPhuongHoai Dinh; Hai-Anh Ha; Aigul Utegenova; Awais Ali; Abdulaziz Alamri

  • 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

    Journal of Biomolecular Structure and Dynamics
    2024-07-02 | Journal article
    DOI: 10.1080/07391102.2023.2225109
    CONTRIBUTORS: PhongSon Dinh; ChauMyThanh Tran; ThiPhuongHoai Dinh; Awais Ali; ShangLing Pan

  • Potential diagnostic value of serum microRNAs for 19 cancer types: a meta-analysis of bioinformatics data

    Journal of Biomolecular Structure and Dynamics
    2024-03-15 | Journal article
    DOI: 10.1080/07391102.2024.2328744
    CONTRIBUTORS: ChauMyThanh Tran; PhongSon Dinh

  • Identification of hsa_circ_0001445 of a novel circRNA-miRNA-mRNA regulatory network as potential biomarker for coronary heart disease

    Frontiers in Cardiovascular Medicine
    2023-03-14 | Journal article
    DOI: 10.3389/fcvm.2023.1104223
    Part of ISSN: 2297-055X
    CONTRIBUTORS: PhongSon Dinh; JunHua Peng; ThanhLoan Tran; DongFeng Wu; ChauMyThanh Tran; ThiPhuongHoai Dinh; ShangLing Pan

Fan Zhang | Proteomics | Best Researcher Award

Posted on by sciencefather

Dr. Fan Zhang | Proteomics | Best Researcher Award

Fan Zhang, born on September 23, 1991, is a postdoctoral researcher specializing in cancer proteogenomics 🔬. He is currently with the Department of Pathology at Duke University 🏛️. His research leverages mass spectrometry and bioinformatics 🖥️ to investigate metabolic pathways in therapy-resistant prostate cancer and other malignancies. He has received the FY23 Prostate Cancer Research Program Early Investigator Research Award 🏆 for his work on glutamine metabolism in advanced prostate cancer. His contributions to proteogenomics have resulted in multiple high-impact publications 📄 in Nature Communications, Cell Research, and Molecular & Cellular Proteomics. Proficient in LC-MS/MS, bioinformatics analysis, and experimental techniques, his research bridges the gap between basic cancer biology and clinical applications 🏥, paving the way for novel therapeutic strategies in oncology.

Profile

Education 🎓

Fan Zhang holds a Ph.D. in Biochemistry and Molecular Biology from Fudan University (2015-2020), where he focused on proteogenomic research. He further pursued postdoctoral training in Clinical Medicine at Fudan University (2020-2022) before joining Duke University as a postdoctoral researcher in the Department of Pathology in 2023. His academic journey began with a B.S. in Applied Biological Science from Anhui Agricultural University (2011-2015). Throughout his education, he gained expertise in genomics, transcriptomics, and proteomics, developing a strong foundation in bioinformatics and experimental methodologies. His interdisciplinary training has equipped him with skills in mass spectrometry-based proteomics, omics data analysis, and cancer metabolism research. His current research at Duke University focuses on metabolic vulnerabilities in prostate cancer, aiming to develop targeted therapies. His diverse academic background enables him to integrate various scientific disciplines, contributing significantly to cancer research and precision medicine.

Experience 👨‍🏫

Fan Zhang has extensive research experience in cancer proteogenomics. Currently a postdoctoral researcher at Duke University (2023-present), he investigates metabolic vulnerabilities in prostate cancer using advanced mass spectrometry and omics analysis. Previously, he was a postdoc in Clinical Medicine at Fudan University (2020-2022), where he contributed to proteogenomic studies on various cancers, including pituitary neuroendocrine tumors and diffuse large B-cell lymphoma. His Ph.D. at Fudan University (2015-2020) focused on proteogenomic characterizations of cancer, leading to high-impact publications. He is proficient in LC-MS/MS, bioinformatics, and experimental methodologies such as Western blotting, immunofluorescence, and cell culture. His research integrates mass spectrometry with genomics and transcriptomics to uncover novel therapeutic targets. With expertise in multi-omics data analysis, he has significantly contributed to the field of cancer biology. His work is supported by prestigious grants, highlighting his role as a leading researcher in proteogenomics and precision oncology.

Research Interests 🔬

Fan Zhang’s research focuses on proteogenomics and cancer metabolism, particularly in therapy-resistant malignancies like prostate cancer, pituitary neuroendocrine tumors, and diffuse large B-cell lymphoma. He specializes in mass spectrometry-based proteomics (DDA, DIA) and integrates multi-omics approaches, including genomics, transcriptomics, and metabolomics, to uncover novel cancer vulnerabilities. His current work at Duke University investigates glutamine metabolism in castration-resistant prostate cancer, aiming to develop targeted therapies. His expertise extends to bioinformatics analysis, large-cohort omics data interpretation, and advanced LC-MS/MS techniques for various biological samples. His research has led to multiple high-impact publications, highlighting his ability to translate complex molecular data into potential clinical applications. By combining experimental and computational approaches, he aims to identify biomarkers and therapeutic targets that can improve cancer treatment. His contributions to proteogenomics play a crucial role in advancing precision oncology and understanding the metabolic reprogramming of aggressive cancers.

 

Awards & Recognitions 🏅

Fan Zhang has received multiple awards and recognitions for his contributions to cancer proteogenomics. He was awarded the Fiscal Year 2023 (FY23) Prostate Cancer Research Program (PCRP) Early Investigator Research Award (2023-2025) for his project on targeting glutamine metabolism in advanced prostate cancer (Award Number HT9425-24-1-0237). His research has been recognized through multiple first-author and co-first-author publications in high-impact journals such as Nature Communications, Molecular & Cellular Proteomics, Cell Research, and The Prostate. His work has also been featured as a cover article in Cell Research (2022). His expertise in mass spectrometry, proteogenomics, and bioinformatics has positioned him as a leading young investigator in the field. In addition to research grants, he has received accolades for his innovative contributions to metabolic studies in oncology. His commitment to advancing cancer research has been instrumental in developing novel therapeutic strategies for therapy-resistant malignancies.

Publications 📚

Kawthar Diab | Biology and Life Science | Best Researcher Award

Posted on by sciencefather

Prof Dr. Kawthar Diab | Biology and Life Science | Best Researcher Award

 

Profile

Education

She holds a Ph.D. in Zoology from Ain Shams University, awarded in March 2009, with her research focusing on the protective role of medicinal plants against the genotoxic effects induced by hydrocortisone in mice. Prior to that, she earned an M.Sc. in Experimental Zoology from Zagazig University in May 2003, where she conducted cytogenetic and immunogenetic studies on cisplatin and 5-fluorouracil, with a particular focus on their effects on reproduction in rats. She completed her B.Sc. in Zoology from Al-Azhar University in May 1996, graduating with a “very good” grade. Her postdoctoral research includes a six-month fellowship at Tokai University, Japan, in the Department of Bioscience, School of Agriculture, from June to December 2014. Additionally, she pursued another six-month postdoctoral fellowship in the Cancer Pharmacology Division at the Indian Institute of Integrative Medicine, Jammu, India, from March to September 2012.

Work experience

She has actively participated in international workshops and conferences, including the Fluorescence Microscopy workshop “FluoMicro@ICGEB” at the International Center for Genetic Engineering and Biotechnology (ICGEB) in New Delhi, India, from October 2nd to 4th, 2019. Additionally, she was a speaker at the 6th Rajabhat University National and International Research and Academic Conference, held virtually on August 17-18, 2020, where she presented her research on the Cancer Chemopreventive Activity of Himalayan Plants. In terms of academic supervision, she has guided Ph.D. student Amr Mohammed Abo-Elhamd Ahmed, an Assistant Researcher at the Department of Aromatic and Medicinal Plants, Pharmaceutical and Drug Industries Research Institute, National Research Centre, Cairo, Egypt. His research focuses on the biochemical and therapeutic evaluation of selected Lamiaceae family plants for prostate disease treatment.

Research project

She has actively contributed to several local and international research projects, playing key roles in various studies. From 2005 to 2008, she was a member of a National Research Centre (NRC) project investigating the genotoxic effects of environmental pollution and veterinary drugs (Project No. 7110613). Between 2010 and 2013, she participated in an NRC-funded project on the production and evaluation of bioactive metabolites and hypolipidemic agents derived from marine sponge and coral endophytic microorganisms against carcinogenic pathogens, liver, and colon cancer (Project No. 9100302).

Her research extended to environmental toxicology, where she contributed to a Science & Technology Development Fund (STDF) project (2012-2014) evaluating mango byproducts as antioxidants against genetic damage caused by lead pollution (Project No. 4782). From 2017 to 2019, she served as a Co-Principal Investigator (Co-PI) on an NRC project studying the anti-hepatotoxic and antigenotoxic properties of plant extracts and their safety for use (Project No. 11010345). During the same period, she was also a member of an NRC project exploring the effects of nanoparticles in tissue culture applications (Project No. 11030108).

Her expertise further contributed to projects applying OMICS technology to enhance food safety in Egypt (2020-2022, Project No. 12050305) and exploring new pharmaceutical raw materials for prostate disease treatment (2020-2022, Project No. 12060108). Additionally, she collaborated with the Bulgarian Academy of Sciences on a research project (2020-2022) focused on improving the production of therapeutic ingredients in Lamiaceae plants for prostate disease treatment using biotechnology techniques.

Publication

 

  • Zaied FA, Zabal M, Diab KA (2003): Cytogenetic and Imuunogenetic studies of cisplatin and 5-Fluorouracil in rats. Zagazig University Journal, (IX):133–156.
  • Fahmy MA,Diab KA (2009): In vivo genotoxicity studies of cefotaxime.Cytologia, 74 (4):417–425.
  • Diab KA, Hassan ZM. (2011): Assessment of the antigenotoxic activity of white sesame extract (Sesamum indicum) against vincristine induced genotoxicity in mice. Comunicata Scientiae, 2(3)126-134.
  • Diab KA and Aboul-Ela E I (2012): In vivo comparative studies on antigenotoxicity of date palm (Phoenix dactylifera L.) pits extract against DNA damage induced by N-Nitroso-N-methylurea in mice. Toxicology International, 19 (3):279-286.
  • Diab KA,Elmakawy AI, Abd El-Moneim OM, Sharaf HA (2012): Assessment of genotoxicity and histopathological changes induced by polyethylene glycol (PEG 6000) in male mice.  Journal of Cytology & Histology, 3(5): 153.
  • Khalil WKB, Ghal IS, Diab KA,Elmakawy AI (2014): Antitumor activity of Moringaoleifera leaf extract against Ehrlich solid tumor. International Journal of Pharmacy, 4(3): 68-82.
  • Elmakawy AI, Abd El-Moneim OM, Diab KA,Sharaf HA (2014) Evaluation of male-mediated reproductive toxicity induced by polyethylene glycol in mice. World Applied Sciences Journal, 31 (8): 1478-1487.

 

Dingming Wu | Computer Science | Best Researcher Award

Posted on by sciencefather

Dr. Dingming Wu | Computer Science | Best Researcher Award

 

Profile

  • scopus

Education

He holds a Ph.D. in Computer Science and Technology from Harbin Institute of Technology, where he studied under the supervision of Professor Xiaolong Wang from March 2018 to December 2022. Prior to that, he earned a Master’s degree in Probability Theory and Mathematical Statistics from Shandong University of Science and Technology in collaboration with the University of Chinese Academy of Sciences, completing his studies under the guidance of Professor Tiande Guo between September 2014 and July 2017. His academic journey began with a Bachelor’s degree in Information and Computational Science from Shandong University of Science and Technology, which he completed between September 2006 and July 2010.

Work experience

He is currently a Postdoctoral Fellow at the University of Electronic Science and Technology of China, Chengdu, a position he has held since December 2022 and will continue until December 2024. His research focuses on EEG signal processing and algorithm feature extraction, specifically addressing the challenges posed by the complexity and individual variations of EEG signals. Given the limitations of traditional classification methods, his work aims to enhance recognition accuracy through advanced deep learning models, improving the decoding of intricate EEG signals and optimizing control accuracy. Additionally, he integrates artificial intelligence technologies to predict user intentions and provide proactive responses, ultimately enhancing the interactive experience. His system is designed for long-term stability and adaptability, leveraging self-learning mechanisms based on user feedback.

Previously, he worked as a Data Analyst at Qingdao Sanlujiu International Trade Co., Ltd., Shanghai, from September 2010 to July 2014. In this role, he was responsible for conducting statistical analysis of trade flow data.

Publication

  • [1] Dingming Wu, Xiaolong Wang∗, and Shaocong Wu. Jointly modeling transfer learning of
    industrial chain information and deep learning for stock prediction[J]. Expert Systems with
    Applications, 2022, 191(7):116257.
    [2] Dingming Wu, Xiaolong Wang∗, and Shaocong Wu.A hybrid framework based on extreme
    learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock
    prediction[J]. Expert Systems with Applications, 2022, 207(24):118006.
    [3] Dingming Wu, Xiaolong Wang∗, and Shaocong Wu. Construction of stock portfolio based on
    k-means clustering of continuous trend features[J]. Knowledge-Based Systems, 2022,
    252(18):109358.
    [4] Dingming Wu, Xiaolong Wang∗, Jingyong Su, Buzhou Tang, and Shaocong Wu. A labeling
    method for financial time series prediction based on trends[J]. Entropy, 2020, 22(10):1162.
    [5] Dingming Wu, Xiaolong Wang∗, and Shaocong Wu. A hybrid method based on extreme
    learning machine and wavelet transform denoising for stock prediction[J]. Entropy, 2021,
    23(4):440.
    Papers to be published:
    [6] Wavelet transform in conjunction with temporal convolutional networks for time series
    prediction. Journal: PATTERN RECOGNITION; Status: under review; Position: Sole
    Author.
    [7] A Multidimensional Adaptive Transformer Network for Fatigue Detection. Journal: Cognitive
    Neurodynamics; Status: accept; Position: First Author.
    [8] A Multi-branch Feature Fusion Deep Learning Model for EEG-Based Cross-Subject Motor
    Imagery Classification. Journal: ENGINEERING APPLICATIONS OF ARTIFICIAL
    INTELLIGENCE; Status: under review; Position: First Author.
    [9] A Coupling of Common-Private Topological Patterns Learning Approach for Mitigating Interindividual Variability in EEG-based Emotion Recognition. Journal: Biomedical Signal
    Processing and Control; Status: Revise; Position: First Corresponding Author.
    [10] A Function-Structure Adaptive Decoupled Learning Framework for Multi-Cognitive Tasks
    EEG Decoding. Journal: IEEE Transactions on Neural Networks and Learning Systems;
    Status: under review; Position: Co-First Author.
    [11] Decoding Topology-Implicit EEG Representations Under Manifold-Euclidean Hybrid Space.
    Computer conference: International Joint Conference on Artificial Intelligence 2025 (IJCAI);
    Status: under review; Position: Second Corresponding Author.
    [12] Style Transfer Mapping for EEG-Based Neuropsychiatric Diseases Recognition. Journal:
    EXPERT SYSTEMS WITH APPLICATIONS; Status: under review; Position: Second
    Corresponding Author.
    [13] An Adaptive Ascending Learning Strategy Based on Graph Optional Interaction for EEG
    Decoding. Computer conference: International Joint Conference on Artificial Intelligence
    2025 (IJCAI); Status: under review; Position: Second Corresponding Author.
    [14] A Transfer Optimization Methodology of Graph Representation Incorporating CommonPrivate Feature Decomposition for EEG Emotion Recognition. Computer conference:
    International Joint Conference on Artificial Intelligence 2025 (IJCAI); Status: under review;
    Position: Second Corresponding Author.
    [15] An Interpretable Neural Network Incorporating Rule-Based Constraints for EEG Emotion
    Recognition. Computer conference: International Joint Conference on Artificial Intelligence
    2025 (IJCAI); Status: under review; Position: First Author.

Shilpa Kumari | Biotechnology | Best Researcher Award

Posted on by sciencefather

Ms.Shilpa Kumari | Biotechnology | Best Researcher Award

 

Sharda University, India

Profile

Education

She is currently pursuing a Ph.D. at Sharda University since 2020, having completed her coursework with an impressive 84.5%. She holds an M.Sc. in Biotechnology from Chandigarh University, where she secured 79.6% in 2019. Prior to that, she earned her B.Sc. from HNB Garhwal Central University, Srinagar, in 2017 with a score of 66.7%. She completed her 12th grade in the Medical stream under CBSE in 2014 with 74.4% and her 10th grade in General Science in 2012, securing 75.5%.

 

Awards

She has been awarded the Sharda University Research Scholarship (SURS) by Sharda University since February 2021. She received a Silver Medal at the 8th Annual Meeting of the International Association of Zoologists and the 5th International Conference on Recent Trends in Life Sciences and Biotechnology held at Maharishi Markandeshwar (Deemed to be University), Haryana, in December 2024. Additionally, she was granted International Travel Support from the Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India, to present her research at the University Malay, Kuala Terengganu, Malaysia, in August 2024. She secured 2nd Prize at the Anveshan International Convention 2023-2024 (North Zone), organized by the Association of Indian Universities (AIU) in January 2024. Furthermore, she won the Best Oral Presentation Award at the National Conference on Disease Diagnosis and Drug Development Against Human Pathogens, sponsored by DBT and organized by Muthyammal College of Arts and Science in November 2023.

Book chapters

1. Shilpa Kumari, Neha Verma, Anil Kumar, Sunita Dalal, and Kanu Priya. “Functional
overrepresentation analysis and their application in microbial pathogenesis.” In Systems Biology
Approaches for Host-Pathogen Interaction Analysis, pp. 171-179. Academic Press, 2024.
2. Neha Verma, Shilpa Kumari, Anil Kumar, and Kanu Priya. “Advancements in systems biologybased analysis of microbial pathogenesis.” In Systems Biology Approaches for Host-Pathogen
Interaction Analysis, pp. 181-190. Academic Press, 2024

Publication