Month: March 2025

📘 2025: Multi-Affection Prompt Learning for Sentiment, Emotion and Sarcasm Joint Detection in Conversations – Tsinghua Science and Technology [SCI-1]

🎓 Education

Dr. Li earned his Ph.D. in Computer Science from the College of Intelligence and Computing at Tianjin University in 2019. He previously received his Master’s degree in Computer Science (2014) and a Bachelor’s degree in Network Engineering (2011), both from the School of Information Science and Technology at Shandong University of Science and Technology.

💼 Experience

Since 2019, Dr. Xiang Li has held the position of Associate Researcher at the Qilu University of Technology. In addition to his research role, he contributes significantly to teaching, instructing several undergraduate and graduate-level courses since 2020, including English for Computer Science, Information Retrieval, and Data Mining, Analysis, and Visualization. His multidisciplinary expertise allows him to merge theory with practice, especially in the intersection of artificial intelligence, neuroscience, and ocean data analytics.

🔬 Research Interests

Dr. Li’s research interests lie in EEG-based emotion recognition, multimodal deep learning, contrastive learning, and affective computing. He has also made substantial contributions to intelligent quality control in ocean observation, shipborne wind speed correction, and biomedical signal processing. His innovative approaches often employ supervised and self-supervised learning frameworks, with a focus on enhancing data-driven decision-making using limited or noisy data.

🏆 Awards

🧠 ESI Highly Cited Paper for “EEG based emotion recognition: A tutorial and review” (2022)
🏅 Recognized for over 1,700 citations on Google Scholar
📈 Several publications with >100 citations, such as his works on quantum-inspired sentiment analysis and cross-subject EEG emotion recognition
🧪 Multiple papers published in SCI Tier-1 journals and top CCF-ranked conferences

📚 Publications Top Notes:

Below is a selection of Dr. Xiang Li’s publications, presented with hyperlinks, publication years, journals/conferences, and citation data (when available):

📘 2024: A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based Emotion Recognition – ICASSP 2024 [CCF-B]

📘 2024: Self-Supervised Pretraining-Enhanced Intelligent Quality Control for Ocean Observations – ICONIP 2024 [CCF-C]

📘 2024: An Adaptive Time-convolutional Network Online Prediction Method for Ocean Observation Data – SEKE 2024 [CCF-C]

📘 2024: Fusion of Time-Frequency Features in Contrastive Learning for Wind Speed Correction – Journal of Ocean University of China [SCI-3]

📘 2023: EEG-based Parkinson Detection through Supervised Contrastive Learning – BIBM 2023 [CCF-B]

📘 2022: EEG based Emotion Recognition: A Tutorial and Review – ACM Computing Surveys, 55(4) [SCI-1, IF=23.8, Cited by: 272]

📘 2021: Emotion Recognition via Dual-pipeline Graph Attention Network – BIBM 2021 [CCF-B]

📘 2020: Latent Factor Decoding of Multi-channel EEG through Neural Networks – Frontiers in Neuroscience, [SCI-2, Cited by: 81]

📘 2018: Exploring EEG Features in Cross-subject Emotion Recognition – Frontiers in Neuroscience, [SCI-2, Cited by: 369]

📘 2016: Emotion Recognition from Multi-channel EEG via CNN-RNN – BIBM 2016 [CCF-B, Cited by: 320]

📘 2015: EEG-based Emotion Identification Using Deep Feature Learning – ACM SIGIR NeuroIR Workshop [CCF-A Workshop, Cited by: 92]

Abhinav Singhal | Mathematics | Best Researcher Award

Published on 13/03/202513/03/2025 by Popular Scientist

Dr. Abhinav Singhal | Mathematics | Best Researcher Award

Assistant Professor Christ University, Bengaluru, India, 560029. India

Dr. Abhinav Singhal is an accomplished researcher and academician currently serving as an Assistant Professor in the Department of Science (Mathematics) at CHRIST (Deemed to be University), Delhi-NCR Campus, Ghaziabad. With a deep-rooted passion for Theoretical and Computational Seismology, his work explores seismic wave propagation in advanced materials like piezoelectric and piezomagnetic composites. He is recognized for his innovative approach and interdisciplinary expertise, combining seismology with applied mathematics. 💡

Profile

🧠 Theoretical investigation of SH wave transmission in magneto electro‐elastic structure having imperfect interface using approximating method — Applied Physics A (2024), Cited by: X

🎓 Education

Dr. Singhal earned his Ph.D. from the Indian Institute of Technology (ISM), Dhanbad under the guidance of Dr. Sanjeev A. Sahu. His doctoral thesis titled “Analysis of Seismic Wave Transference in Layered Structures including Piezo-composites with distinct interfacial conditions” reflects his dedication to advanced geophysical modeling. Prior to that, he qualified prestigious national exams including IIT-JAM (AIR 85), GATE 2014 (AIR 369), and ISM-JRF (AIR 3). 🎓📘

👨‍🏫 Experience

Dr. Singhal began his academic journey as a Teaching Assistant at IIT (ISM) Dhanbad (2016–2018), where he taught Numerical Analysis. He then worked as an Assistant Professor at Madanapalle Institute of Technology and Sciences (2018–2020), and MS Ramaiah University of Applied Sciences (2020–2021), where he taught subjects like Partial Differential Equations, Probability & Statistics, and Discrete Mathematics. Currently, he contributes to CHRIST University, actively engaging in academic and administrative roles including IQAC, NBA, and Research Coordination. 🧑‍🏫📊

🔬 Research Interests

Dr. Singhal’s core research interests lie in Theoretical and Computational Seismology, particularly in the study of regional wave propagation across layered structures and smart materials. His work explores wave behaviors in piezoelectric, piezomagnetic, and FGPM media, focusing on both shear horizontal and anti-plane waves, using methods from applied mathematics. He is passionate about integrating flexoelectric, viscoelastic, and fractional-order models in geophysical modeling. 🌍📐

🏆 Awards

🎖️ In recognition of his outstanding research contributions, Dr. Abhinav Singhal was honored with the Research Appreciation Award (2019) by the Madanapalle Institute of Technology and Sciences, Andhra Pradesh. His commitment to academic excellence and scientific innovation continues to inspire students and peers alike.

📚 Publications Top Notes:

Dr. Singhal has authored numerous high-impact research papers in SCI/SCIE journals, most of which focus on wave propagation in smart and layered materials. His works are widely cited, showcasing his contribution to the field. Below are his major publications:

🌀 Nonlinear Surface Effects Study… in Orthotropic Piezoelectric Materials — Journal of Applied Mechanics (ASME) (2024), Cited by: X

💥 Love-type wave velocity in bedded piezo-structure — ZAMM (2024), Cited by: X

🔧 SH and Anti-plane SH waves in Orthotropic Piezoelectric Quasicrystal — Acta Mechanica (2024), Cited by: X

🧩 Surface wave in flexoelectric plate with viscoelastic coating — Physica Scripta (2024), Cited by: X

🧲 Interface Effects in Piezoelectric Quasicrystal — Acta Mechanica Sinica (2024), Cited by: X

⚙️ Surface wave velocity in rheological models with flexoelectric effect — J. Braz. Soc. Mech. Sci. Eng. (2025), Cited by: X

🔍 Imperfect interfaces in cobalt ferrite plates — Discover Materials (2024), Cited by: X

🔬 Wave signals for nanosensor applications using PZT models — Acta Mechanica (2025), Cited by: X

🌊 Surface Acoustic Waves in Piezoelectric Plate — Int. J. of Dynamics and Control (2024), Cited by: X

🧱 Wave reflection in pre-stressed solids with dual porosity — European J. of Mechanics – A/Solids (2025), Vol. 111, Article: 105565. IF: 4.3

🌐 Size-dependent surface wave in fractured porous seabed — Mechanics of Advanced Materials and Structures (2025), IF: 3.6

Seema SEEMA | Mathematics | Best Researcher Award

Published on 12/03/202512/03/2025 by Popular Scientist

Mrs. Seema SEEMA | Mathematics | Best Researcher Award

Research Scholar Christ University, Bengaluru, India, 560029. India

Ms. Seema is a dedicated researcher in the field of mathematics and computational seismology, currently working as a Senior Research Scholar in the Department of Science (Mathematics) at CHRIST (Deemed to be University), Delhi-NCR Campus, Ghaziabad. With a strong foundation in applied mathematics, she is driven by a passion to explore seismic wave propagation in smart and advanced materials such as piezomagnetic and piezoelectric structures. Her scholarly contributions focus on theoretical and computational analysis of wave mechanics, aiming to enhance the scientific understanding of the Earth’s physical behavior through mathematical models.

Profile

Seema & A. Singhal (2024). Theoretical investigation of SH wave transmission in magneto‐electro‐elastic structure having imperfect interface, Applied Physics A (Springer), Q2, IF: 2.5.

🎓 Education

Ms. Seema is currently pursuing an Executive Post Graduate Program in Data Science & AI at IIT Roorkee, expected to complete by February 2025. She is also completing her Ph.D. in Mathematics and Computing at CHRIST University, where her thesis focuses on Transference Characteristics of Seismic Surface Waves in Piezo-composite Layered Structures with Distinct Interfacial Conditions. She holds an M.Sc. in Mathematics (2014) and a B.Sc. (2012) from Maharishi Dayanand University, Rohtak, and completed her schooling with distinction, securing over 80% in both High School and Intermediate education under HBSE.

🧑‍🏫 Experience

Ms. Seema has experience both in academia and research. From June 2020 to May 2022, she worked as a Guest Faculty at CHRIST University, Delhi-NCR, teaching advanced mathematical subjects including Linear Algebra, Calculus, and Differential Equations with Python integration. Since June 2022, she has been serving as a Senior Research Scholar, contributing to the fields of theoretical and computational seismology. Her technical expertise extends to Python, SQL, LaTeX, Mathematica, and data analysis platforms.

🔬 Research Interests

Ms. Seema’s core research interests lie in Theoretical and Computational Seismology, focusing on wave propagation in smart and functional materials such as piezoelectric, piezomagnetic, and functionally graded piezoelectric materials (FGPM). She is particularly interested in surface and interface effects, rheological models, and flexoelectric coupling in seismic wave studies. Her work combines applied mathematics and physical modeling to analyze complex material interactions under various boundary and interface conditions.

🏆 Awards

Ms. Seema secured an impressive All India Rank 6 in the CSIR-NET examination, a prestigious national-level qualification for research and lectureship in India. Her doctoral thesis and multiple publications in SCI-indexed Q1 and Q2 journals further underscore her scientific merit and recognition in the research community.

📚 Publications Top Notes:

Ms. Seema has published extensively in peer-reviewed international journals. Below is a list of her notable SCI publications along with hyperlinks, journal name, year, and citation info (if available):

Seema & A. Singhal (2024). Nonlinear Surface Effects Study… in Orthotropic Piezoelectric Materials, Journal of Applied Mechanics (ASME), Q1, IF: 2.6.

Seema & A. Singhal (2024). Flexoelectric effect in Love-type waves for piezo-structure, ZAMM, Q2, IF: 2.3.

Seema & A. Singhal (2024). SH and Anti-plane SH waves in Piezoelectric Quasicrystal, Acta Mechanica (Springer), Q2, IF: 2.3.

Seema et al. (2024). Surface wave in flexoelectric plate with viscoelastic coating, Physica Scripta (IOP), Q2, IF: 2.6.

Seema & A. Singhal (2024). Interface Effects in Piezoelectric Quasicrystals, Acta Mechanica Sinica, Q1, IF: 3.8.

Seema & A. Singhal (2025). Wave velocity in flexoelectric piezoelectric AlN, J Braz. Soc. Mech. Sci. Eng., Q2, IF: 1.8.

Seema & A. Singhal (2024). Imperfect interfaces in cobalt ferrite plates, Discover Materials, Q2.

Seema et al. (2025). SH wave signals for nanosensor applications in PZT-2 and PZT-5H, Acta Mechanica, Q2, IF: 2.3.

Seema & A. Singhal (2025). Energy transmission in piezomagnetic tetrahedral laminate, Applied Physics A, Q2, IF: 2.5.

Zainab El Arbi | Medicine and Health Sciences | Women Researcher Award

Published on 12/03/202515/03/2025 by Popular Scientist

Mrs. Zainab El Arbi | Medicine and Health Sciences | Women Researcher Award

enseignante ISSEP-KS (Higher Institute of Sport and Physical Education of Ksar Saïd) Tunisia

Zaineb El Arbi is a dedicated Teacher and Researcher at the “Higher Institute of Sport and Physical Education of Ksar Said, Manouba University”, Tunisia, with a strong commitment to child motor development and adapted physical education. Beginning her career as a swimming coach and a teacher for deaf children, she has spent over a decade observing and addressing motor and behavioral challenges in young children. Her passion lies in shaping inclusive and intervention-based physical activity programs for preschoolers, especially those with special needs like deafness and autism.

Profile

🎓 Education

Zaineb’s academic journey is rooted in the Sciences and Technics of Physical Activities and Sport, where she developed expertise in early childhood motor development and adaptive physical education. Her research is also deeply connected to her ongoing thesis, emphasizing practical, community-driven solutions for children’s physical well-being in Tunisia.

💼 Experience

Zaineb started her career as a swimming coach and an adapted physical education teacher at a special school for deaf children. Over the years, her hands-on work with children displaying motor and behavioral difficulties inspired her research into early intervention. Currently, she serves as a teacher and researcher at her institution, combining practical experience with scientific inquiry to support inclusive education in early childhood.

🔬 Research Interests

Zaineb’s primary research interests include motor development, motor impairments, and disabilities in preschoolers. Her work focuses on early detection and intervention strategies for Tunisian children, particularly those facing developmental challenges due to deafness or autism. She collaborates with specialized labs like Pearson Laboratory, using tools like the MABC-2 battery to assess motor competence in young children.

🏆 Awards

Zaineb is applying for the Prix de la femme chercheuse (Women Researcher Award) in recognition of her impactful work in child motor development. Her mission to improve early childhood education and public health through physical activity programs stands as a meaningful contribution to Tunisian society.

📚 Publications Top Notes:

Zaineb recently published an article in the SpringerNature journal, Sport Sciences for Health, titled:
“Assessment of motor competence in Tunisian preschoolers using MABC-2 battery”
📖 Read Publication (2025)
📰 Journal: Sport Sciences for Health
🔗 Cited by: ResearchGate Article

Athar Mahmood | Agricultural and Biological Sciences | Best Researcher Award

Published on 11/03/202511/03/2025 by Popular Scientist

Assoc. Prof. Dr. Athar Mahmood | Agricultural and Biological Sciences | Best Researcher Award

Associate Professor University of Agriculture Faisalabad Pakistan

Dr. Athar Mahmood is a seasoned agronomist and Associate Professor at the University of Agriculture Faisalabad (UAF), Pakistan 🇵🇰. With a robust academic and research background spanning over 15 years, he has made substantial contributions in the domains of sustainable agriculture, biofertilizers, and bioenergy. Dr. Mahmood’s dedication to improving crop productivity under climate-stressed conditions has earned him national and international recognition, fellowships, and project funding. 🌱 His scholarly work bridges traditional agricultural practices with modern biotechnology, reflecting a commitment to sustainable food systems and environmental resilience. 🌍

Profile

Mahmood, A. et al. (2025). Transforming field crops with CRISPR/Cas: a new era in genome editing. Rendiconti Lincei: Scienze Fisiche e Naturali.
Cited by: 5

🎓 Education

Dr. Mahmood earned his Ph.D. in Agronomy from Justus Liebig University of Giessen, Germany (2007–2012), where he focused on sorghum as an energy crop. He completed his M.Sc. in Agronomy (2005–2007) and B.Sc. (Hons.) in Agriculture (2001–2005) at the University of Agriculture Faisalabad. Earlier, he pursued intermediate (pre-medical) at Government Science College, Faisalabad (1999–2001) and matriculation in science from Government High School Salarwala (1996–1998). 📚

👨‍🏫 Experience

Currently serving as an Associate Professor at UAF, Dr. Mahmood has previously worked as an Assistant Professor at University of Sargodha (2012–2013). He undertook postdoctoral research at Southern University of Queensland (SUQ), Australia, supported by the Endeavor Fellowship (2016–2017), where he also held a visiting academic position. 🌏 His career also includes mentoring students, curriculum development, and active involvement in campus leadership and scientific committees.

🔬 Research Interests

Dr. Mahmood’s research focuses on sustainable agriculture, biofertilizer development, biogas production, and climate-smart farming. 🌾 He is particularly interested in biosaline agriculture, organic waste management, and the physiological response of crops under abiotic stresses. His multidisciplinary approach bridges agronomy, environmental sciences, and renewable energy, aiming to build more resilient agricultural systems.

🏆 Awards

Dr. Athar Mahmood has received numerous accolades including:

🥇 Talented Young Scientist Program Award for Postdoctoral Study in China (2018–2019)
🥈 Endeavor Fellowship (Australia) for postdoctoral studies at SUQ (2016–2017)
🎓 HEC-DAAD Ph.D. Scholarship in Germany (2007–2012)
🎖️ Visiting Academic position at University of Southern Queensland
✅ Recognized as an HEC Approved Supervisor in Pakistan

📚 Publications Top Notes:

Here are his recent impactful publications with links, publication years, journal names, and citations:

Mahmood, A. et al. (2025). Impact of nitrogen, sulphur, and foliar applied thiourea on growth, oil yield, and fatty acid profile of canola. Polish Journal of Environmental Studies, 34(3), 2337–2347.
Cited by: 2

Mahmood, A. et al. (2025). Silicon-mediated modulation of maize growth, metabolic responses, and antioxidant mechanisms under saline conditions. BMC Plant Biology, 25(1), 3.
Cited by: 3

Mahmood, A. et al. (2024). Morphophysiological and biochemical assessment of cotton germplasm under salt stress. Cogent Food & Agriculture, 10(1).
Cited by: 4

Mahmood, A. et al. (2024). Selenium nanoparticles (SeNPs) and salinity stress in Citrus limon. Biocatalysis and Agricultural Biotechnology, 62.
Cited by: 1

Mahmood, A. et al. (2024). Salicylic acid improves salinity tolerance in barley. BMC Plant Biology, 24(1), 1–16.
Cited by: 6

Mahmood, A. et al. (2024). Thiourea boosts tomato yield under salt stress. Plants, 13(23), 3318.
Cited by: 2

Trehalose: A promising osmo-protectant against salinity stress—physiological and molecular mechanisms and future prospective

Mahmood, A. et al. (2024). Glutathione and zinc improve maize photosynthesis under water stress. Brazilian Journal of Botany, 47(3), 795–808.
Cited by: 1

Mahmood, A. et al. (2024). Heat stress responses and mitigation strategies in crops [link pending publication].

Fangxue Yang | Neuroscience | Best Researcher Award

Published on 11/03/202511/03/2025 by Popular Scientist

Dr. Fangxue Yang | Neuroscience | Best Researcher Award

Xiangya Hospital of Central South University China

Fangxue Yang is a dedicated PhD candidate in Medicine at Xiangya Hospital, Central South University, China. 🎓 Her research is rooted in neuroradiology, with a strong focus on brain function and structure imaging. She brings together clinical experience and biomedical research, especially in MRI-based analysis, to support early diagnosis and personalized treatment approaches. Aiming to bridge the clinical-research divide, she contributes actively to academic discussions, peer-reviewed publications, and collaborative projects. 🧠🔍

Profile

White matter functional and structural alterations of spinocerebellar ataxia type 3: A longitudinal MRI study

🎓 Education

Fangxue Yang is currently pursuing her Doctorate (PhD) in Medicine at Central South University, focusing on neuroradiology. Her academic foundation is grounded in clinical medicine, complemented by strong expertise in advanced imaging modalities such as MRI and deep learning applications in medical diagnostics.

🏥 Experience

With a balanced background in both clinical radiology and biomedical research, Fangxue Yang has cultivated hands-on experience in neuroimaging and MRI-based diagnostics. As a researcher at the Department of Radiology, Xiangya Hospital, she works closely with multidisciplinary teams on projects involving deep learning and imaging informatics. Her contributions support early detection of neurological disorders, with an emphasis on integrating AI with radiological practice. 🧑‍⚕️💻

🔬 Research Interest

Her research interests lie at the intersection of neuroradiology, brain imaging, and artificial intelligence in medical diagnostics. Specifically, she is focused on the early detection of radiation-induced brain injury using deep learning models and automated MRI analysis. Her vision is to enhance precision medicine through AI-driven solutions and imaging informatics. 🧠🤖🖼️

🏆 Awards

Fangxue Yang is a nominee for the Best Researcher Award 🏅 in recognition of her impactful contributions to AI-assisted neuroradiology and her commitment to translational research. Her innovative work continues to earn attention from academic and clinical communities, setting the stage for future accolades in medical imaging and radiological science. 🌟

📚 Publications Top Notes:

Automated deep learning-assisted early detection of radiation-induced temporal lobe injury on MRI: a multicenter retrospective analysis
📌 Published in: European Radiology (2025)
📈 Cited by articles: View on SpringerLink

Stefano Palomba | Medicine and Health Sciences | Best Researcher Award

Published on 11/03/202511/03/2025 by Popular Scientist

Prof. Stefano Palomba | Medicine and Health Sciences | Best Researcher Award

Department of Medical-Surgical Science and Translational Medicine, Obstetrics & Gynecology Sapienza University of Rome Italy

Professor Stefano Palomba is a renowned Italian medical doctor and academic in the field of gynecology and obstetrics, born on October 23, 1971, in Naples, Italy. He is currently affiliated with Sapienza University of Rome, where he contributes to clinical, teaching, and research excellence. Married with one child, Prof. Palomba is widely recognized for his leadership in reproductive medicine and women’s health, and he has made significant contributions to evidence-based gynecological practices worldwide. 📍

Profile

Pregnancy complications in women with polycystic ovary syndrome

🎓 Education

Prof. Palomba’s academic journey began with a Scientific High School Diploma in 1989, followed by an enriching ERASMUS experience in Brussels in 1992. He earned his Master’s Degree in Medicine and Surgery (110/110 cum laude) in 1995 from the University of Naples “Federico II”, with an experimental thesis on postmenopausal skin and bone health. He went on to gain multiple advanced certifications including Integrated Medicine, Internal Ultrasound, Breast Ultrasound, and Fetal Echocardiography, solidifying his expertise across clinical diagnostics and therapeutic domains. 🎓🩺

🏥 Professional Experience

Prof. Palomba has held prestigious clinical, academic, and leadership roles. He served as a Medical Director in multiple public healthcare competitions and was President of Commission for the Grande Ospedale Metropolitano di Reggio Calabria. He has been deeply involved in clinical governance, research evaluation, and mentoring at institutions like the University of Catanzaro “Magna Graecia” and San Servolo. His dedication spans over two decades, emphasizing innovation in gynecological endocrinology, minimally invasive surgery, and integrated reproductive health. 🔬💼

🔬 Research Interests

His scientific pursuits revolve around reproductive endocrinology, gynecologic surgery, menopause management, uterine fibroids, natural family planning, and ultrasound diagnostics. Prof. Palomba’s interdisciplinary research bridges clinical gynecology with endocrine and metabolic health, aiming to enhance women’s quality of life and fertility outcomes. His projects often integrate both medical and surgical strategies to develop tailored therapeutic protocols. 🌡️🧬

🏆 Awards & Recognitions

Prof. Stefano Palomba has been recognized for his scientific contributions and teaching excellence across Italy and internationally. Notable accolades include invitations to lecture at leading specialization schools and honors for high-impact publications. His academic leadership has earned him roles in evaluation commissions and post-specialist courses, especially in gynecologic endocrinology and minimally invasive therapies. 🏅📚

📚 Publications Top Notes:

Prof. Palomba has authored 278 peer-reviewed publications in prestigious journals, achieving a total impact factor (IF) of 1332.99 (2024) and an average IF of 4.85. Below are some highlights with hyperlinks and citation data:

Evidence-based and potential benefits of metformin in the polycystic ovary syndrome: a comprehensive review

Three-dimensional atomic-scale structure of size-selected gold nanoclusters

Early impairment of endothelial structure and function in young normal-weight women with polycystic ovary syndrome

The cardiovascular risk of young women with polycystic ovary syndrome: an observational, analytical, prospective case-control study

Prospective parallel randomized, double-blind, double-dummy controlled clinical trial comparing clomiphene citrate and metformin as the first-line treatment for ovulation …

Structured exercise training programme versus hypocaloric hyperproteic diet in obese polycystic ovary syndrome patients with anovulatory infertility: a 24-week pilot study

Complications and challenges associated with polycystic ovary syndrome: current perspectives

The increase of leukocytes as a new putative marker of low-grade chronic inflammation and early cardiovascular risk in polycystic ovary syndrome

Beneficial effects of a three-month structured exercise training program on cardiopulmonary functional capacity in young women with polycystic ovary syndrome

Ali Raza | Computer Science and Artificial Intelligence | Young Scientist Award

Published on 08/03/202508/03/2025 by Popular Scientist

Mr. Ali Raza | Computer Science and Artificial Intelligence | Young Scientist Award

lecturer The University Of Lahore Pakistan

Ali Raza is a passionate researcher, educator, and developer specializing in computer science. With a strong academic background and extensive experience in machine learning, deep learning, and computer vision, he has contributed significantly to cutting-edge research. Currently serving as a Lecturer at the University of Lahore, Ali has also worked as a Visiting Lecturer at KFUEIT and a Full Stack Python Developer in the software industry. His expertise lies in AI-driven solutions, research writing, and technological advancements in artificial intelligence.

Profile

“Novel Transfer Learning Approach for Hand Drawn Mathematical Geometric Shapes Classification” (2025) PeerJ Computer Science (IF: 3.8)

Education 🎓

MS Computer Science (2021-2023) | Khwaja Fareed University of Engineering and Information Technology (KFUEIT), CGPA: 3.93
BS Computer Science (2017-2021) | KFUEIT, CGPA: 3.47

Professional Experience 💼

Lecturer | University of Lahore (2024 – Present)
Visiting Lecturer | KFUEIT (2022 – 2023)
Full Stack Python Developer | BuiltinSoft Software Industry (2020 – 2021)

Research Interests 📈

Ali Raza’s research focuses on artificial intelligence, machine learning, deep learning, and computer vision. He is particularly interested in developing AI-driven solutions for medical imaging, agricultural applications, and energy consumption prediction. His contributions span multiple domains, showcasing his ability to integrate AI with real-world challenges.

Awards & Certifications 🏆

Best Researcher Award | ScienceFather (26/06/2024)
Use of Generative AI in Higher Education | Punjab Higher Education Commission
Machine Learning with Python (ML0101EN) | IBM Developer Skills Network

Publications Top Notes: 📚

Ali Raza has authored 61 research publications in reputed journals with high impact factors. Below are some of his recent publications:

“Citrus Diseases Detection Using Innovative Deep Learning Approach and Hybrid Meta-Heuristic” (2025) PLOS ONE (IF: 2.9)

“Novel Deep Neural Network Architecture Fusion for Energy Consumption Prediction” (2025) PLOS ONE (IF: 2.9)

“Novel Transfer Learning Based Bone Fracture Detection Using Radiographic Images” (2025) BMC Medical Imaging (IF: 2.9)

“Novel Transfer Learning Approach for Detecting Infected and Healthy Maize Crops” (2025) Food Science & Nutrition (IF: 3.5)

“BdSentiLLM: A Novel LLM Approach to Sentiment Analysis of Product Reviews” (2024) IEEE Access (IF: 3.4)

“An Innovative Artificial Neural Network Model for Smart Crop Prediction” (2024) PeerJ Computer Science (IF: 3.8)

“Enhanced Interpretable Thyroid Disease Diagnosis Using Synthetic Oversampling and Machine Learning” (2024) BMC Medical Informatics (IF: 3.3)

“Diagnosing Epileptic Seizures Using EEG Data and Independent Components” (2024) Digital Health (IF: 3.7)

“A Novel Meta Learning Based Approach for Thyroid Syndrome Diagnosis” (2024) PLOS ONE (IF: 2.9)

SANTOSH KUMAR SHARMA | Mathematics | Young Scientist Award

Published on 08/03/202508/03/2025 by Popular Scientist

Dr. SANTOSH KUMAR SHARMA | Mathematics | Young Scientist Award

RESEARCHER MAGADH UNIVERSITY BODH GAYA BIHAR India

Dr. Santosh Kumar Sharma is a dedicated mathematician and researcher specializing in mathematical modeling of epidemics, social dynamics, and environmental systems. He earned his Ph.D. in Mathematical Science from Magadh University, Bodh Gaya, Bihar, in 2024. With a strong passion for academia and research, he has contributed significantly to applied mathematics through his publications, conference presentations, and journal reviews. As an active member of various mathematical societies, he continues to advance mathematical sciences through innovative research and teaching.

Profile

Dynamic Analysis of Nonlinear Stochastic DENGUE Epidemic Model – Journal of Applied Nonlinear Dynamics, Vol. 14(3), 2025 (Accepted)

Education 🎓

Ph.D. in Mathematical Science – Magadh University, Bodh Gaya (Awarded: October 23, 2024)
M.Sc. in Mathematics – Magadh University, Bodh Gaya (2012-2014, First Class)
B.Sc. in Mathematics – K.L.S College, Nawada (2009-2012, First Class)

Experience ⚙️

Dr. Sharma has extensive experience in academia and research. He has taught undergraduate and postgraduate courses, covering subjects such as calculus, numerical analysis, real and complex analysis, differential equations, and mathematical modeling. He has also reviewed manuscripts for renowned journals, including Springer, Wiley, and Taylor & Francis. Additionally, he has presented his research at national and international conferences.

Research Interests 🔬

Mathematical Modeling of Epidemics
Mathematical Modeling of Social Dynamics
Mathematical Modeling of Environmental & Ecological Systems

Awards & Recognitions 🏆

Life Member of Bharata Ganita Parisad and Bihar Mathematical Society
Member of Odisha Mathematical Society (2023-2024)
Life Member & Advisor at MTTF (Reg. No.- AD220109)
Member of Asian Council of Science Editors (2025)

Publications Top Notes: 📚

A Compartmental Approach to Modeling Measles Disease: A Fractional-Order Optimal Control Model – Fractal Fract. Vol. 8, No. 8, p. 88, 2024

Hopf Bifurcation and Optimal Control of HCV/HIV Co-infection Dynamics Within Humans: A Theoretical Study – Results in Control and Optimization, 11 (2023)

Effect of Antiviral Therapy for HCV Treatment in the Presence of Hepatocyte Growth Factor – Mathematics, Vol. 11(3), 2023

Chifundo Colleta Zimba | Health Professions | Best Researcher Award

Published on 08/03/202508/03/2025 by Popular Scientist

Dr. Chifundo Colleta Zimba | Health Professions | Best Researcher Award

Nurse/Midwife Researcher C/O University of North Carolina Malawi

Dr. Chifundo Colleta Zimba is a Malawian Community Health Nurse/Midwife and a Global Health expert with over 20 years of experience in public health systems strengthening, strategic leadership, and program management. She has collaborated with ministries of health, international organizations, and academic institutions to influence health policies and improve healthcare outcomes. Currently, she serves as an Adjunct Associate Professor at the University of North Carolina (UNC) at Chapel Hill, focusing on public health surveillance, evidence-based decision-making, and policy formulation.

Profile