Erika Azorin-vega | Qualitative Research | Women Researcher Award

Published on by Research Data Analysis

Dr. Erika Azorin-vega | Qualitative Research | Women Researcher Award

Instituto Nacional De Investigaciones Nucleares | Mexico

Erika Patricia Azorín Vega is a distinguished researcher at the Instituto Nacional de Investigaciones Nucleares, specializing in radiopharmaceuticals and their applications in cancer diagnosis and therapy. She holds a Bachelor’s degree in Experimental Biology from Universidad Autónoma Metropolitana-Iztapalapa, a Master’s in Sciences, and a Ph.D. in Bio-Physiology and Neurosciences from CINVESTAV-IPN, with research focused on cellular interactions with extracellular matrices and tumor cell biology. Since 2013, she has led pioneering work in radiopharmaceutical development, resulting in four international patents and over 80 scientific publications with nearly a thousand citations. Her academic contributions include directing multiple undergraduate and graduate theses, reviewing projects for national and international funding agencies, and participating in thesis evaluations globally. She has served as a professor and invited lecturer at several universities, delivering specialized courses in radiobiology, dosimetry, and medical physics, both nationally and internationally. Her research interests encompass radiopharmaceutical design, cancer radiotherapy, metabolomics, and radiation protection. Recognized for her excellence in scientific communication, she has delivered numerous conferences and outreach presentations to advance knowledge in nuclear medicine. Erika’s work continues to shape the field of radiopharmaceutical research and the training of highly skilled professionals in medical physics and biotechnology.

Profile : Google Scholar

Featured Publications

Jiménez-Mancilla, N., Ferro-Flores, G., Santos-Cuevas, C., & et al. (2013). Multifunctional targeted therapy system based on 99mTc/177Lu-labeled gold nanoparticles-Tat(49–57)-Lys3-bombesin internalized in nuclei of prostate cancer. Journal of Labelled Compounds and Radiopharmaceuticals, 56(13), 663–671.

Ferro-Flores, G., Luna-Gutiérrez, M., Ocampo-García, B., Santos-Cuevas, C., & et al. (2017). Clinical translation of a PSMA inhibitor for 99mTc-based SPECT. Nuclear Medicine and Biology, 48, 36–44.

Mendoza-Nava, H., Ferro-Flores, G., Ramírez, F. M., Ocampo-García, B., & et al. (2016). 177Lu-dendrimer conjugated to folate and bombesin with gold nanoparticles in the dendritic cavity: A potential theranostic radiopharmaceutical. Journal of Nanomaterials, 2016(1), 1039258.

Azorín-Vega, A. V. E., Ferro-Flores, G., & Ocampo-García, B. E. (2014). Multifunctional radiolabeled nanoparticles for targeted therapy. Current Medicinal Chemistry, 21(1), 124–138.

Mendoza-Nava, H., Ferro-Flores, G., Ramírez, F. M., Ocampo-García, B., & et al. (2017). Fluorescent, plasmonic, and radiotherapeutic properties of the 177Lu–dendrimer-AuNP–folate–bombesin nanoprobe located inside cancer cells. Molecular Imaging, 16, 1536012117704768.

Aditta Chowdhury | IoT (Internet of Things) Analytics | Research Excellence Award

Published on by Research Data Analysis

Mr. Aditta Chowdhury | IoT (Internet of Things) Analytics | Research Excellence Award

Chittagong University of Engineering and Technology | Bangladesh

Aditta Chowdhury is an electrical and electronic engineering researcher and academic whose work focuses on advancing biomedical signal processing, embedded systems, and sustainable energy technologies. He holds both a Bachelor of Science and a Master of Science in Electrical and Electronic Engineering from the Chittagong University of Engineering and Technology, graduating with top academic distinction. His professional journey includes teaching and research roles in reputed engineering institutions, where he has contributed to curriculum development, laboratory instruction, and collaborative research. His research experience spans FPGA-based biomedical signal processing, photoplethysmogram-driven cardiovascular and metabolic disease detection, multimodal physiological signal analysis, plasmonic biosensing, microgrid feasibility assessment, and low-power VLSI system design. He has published extensively in high-impact journals and international conferences, demonstrating expertise in hardware–software co-design, machine learning applications in healthcare, and emerging sensor technologies. His work has resulted in several innovative solutions, including cardiovascular disease classifiers, hypertension detection systems, EOG-based eye-movement processors, and microgrid sustainability assessments. He has received multiple academic scholarships and awards recognizing his exceptional academic performance and research accomplishments. Driven by a commitment to impactful scientific contribution, he aims to continue developing intelligent, efficient, and accessible engineering solutions through interdisciplinary research and innovation.

Profile : Google Scholar

Featured Publications

Chowdhury, A., Das, D., Eldaly, A.B.M., Cheung, R.C.C., & Chowdhury, M.H. (2024). “Photoplethysmogram-based heart rate and blood pressure estimation with hypertension classification.” IPEM–Translation, 100024.

Joy, J.D., Rahman, M.S., Rahad, R., Chowdhury, A., & Chowdhury, M.H. (2024). “A novel and effective oxidation-resistant approach in plasmonic MIM biosensors for real-time detection of urea and glucose in urine for monitoring diabetic and kidney disease.” Optics Communications, 573, 131012.

Chowdhury, A., Das, D., Hasan, K., Cheung, R.C.C., & Chowdhury, M.H. (2023). “An FPGA implementation of multiclass disease detection from PPG.”
IEEE Sensors Letters, 7(11), 1–4.

Islam, M.A., Chowdhury, A., Jahan, I., & Farrok, O. (2024). “Mitigation of environmental impacts and challenges during hydrogen production.”
Bioresource Technology, 131666.

Chowdhury, A., Das, D., Cheung, R.C.C., & Chowdhury, M.H. (2023). “Hardware/software co-design of an ECG–PPG preprocessor: A qualitative and quantitative analysis.”
Proceedings of the 2023 International Conference on Electrical, Computer and Communication Engineering, 9.

Abdelouahad Achmamad | Engineering | Best Researcher Award

Published on by Research Data Analysis

Dr. Abdelouahad Achmamad | Engineering | Best Researcher Award

Universite De Mans | France

Dr. Abde Louahad Achmamad is an embedded software engineer and researcher specializing in intelligent systems, AI algorithms, biomedical signal processing, and advanced embedded technologies for electrical, biomedical, and IoT applications. He holds a PhD in Electrical Engineering, complemented by master’s degrees in biomedical engineering and electrical/electronic engineering, supported by earlier qualifications in electromechanics and electronics. His professional experience spans biomedical R&D, embedded system design, AI-based medical diagnostics, MRI segmentation, IoT health monitoring, wearable sensor development, and security applications for STM32 microcontrollers. He has worked with leading institutions and companies across France and Morocco, including STMicroelectronics, Akkodis, Diabtech, Université de Rouen, ENSIAS, and multiple research laboratories. His scientific output includes 102 citations by 95 documents, 16 publications, and an h-index of 6, reflecting contributions in EMG-based diagnostics, phonoangiography, neuromuscular disorder detection, sensor fusion, and few-shot learning for medical imaging. He has also reviewed more than 200 scientific manuscripts for major journals from Springer, Elsevier, and MDPI, demonstrating recognized expertise in signal processing and embedded systems. His research interests include embedded AI, biomedical instrumentation, wearable sensors, IoT-based healthcare, security-focused embedded design, and intelligent diagnostic systems. Dr. Achmamad remains dedicated to advancing high-impact engineering solutions that enhance healthcare, sensing technologies, and intelligent embedded platforms.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Achmamad, A., & Jbari, A. (2020). A comparative study of wavelet families for electromyography signal classification based on discrete wavelet transform. Bulletin of Electrical Engineering and Informatics.

Achmamad, A., Belkhou, A., & Jbari, A. (2020). Fast automatic detection of amyotrophic lateral sclerosis disease based on Euclidean distance metric. In 2020 International Conference on Electrical and Information Technologies .

Belkhou, A., Achmamad, A., & Jbari, A. (2019). Classification and diagnosis of myopathy EMG signals using the continuous wavelet transform. In 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science .

Belkhou, A., Achmamad, A., & Jbari, A. (2019). Myopathy detection and classification based on the continuous wavelet transform. Journal of Communications Software and Systems.

Abdelouahad, A., Belkhou, A., Jbari, A., & Bellarbi, L. (2018). Time and frequency parameters of sEMG signal–force relationship. In 2018 International Conference on Optimization and Applications .

Kiyoshi Nokihara |  Diagnostic Analytics | Pioneer Researcher Award

Published on by Research Data Analysis

Prof. Dr. Kiyoshi Nokihara |  Diagnostic Analytics | Pioneer Researcher Award

Hipep Laboratories | Japan

Kiyoshi Nokihara is a distinguished biomedical scientist whose career spans organic chemistry, peptide-protein science and bio-detection instrumentation. After his initial studies in Tokyo, he conducted research in Germany at the Deutsches Wollforschungs­institut an der Technischen Hochschule Aachen (1974-79) focusing on the chemistry and biology of biomolecules such as insulin, followed by work in the U.S. with Finnegan Inc. in Silicon Valley on mass spectrometry of biomolecules. He returned to Japan to investigate brain-gastrointestinal and neuro-peptides as Assistant Professor at the Shizuoka Prefectural University. Subsequent roles included Visiting Professor at the University of Heidelberg (via the Alexander von Humboldt Foundation) and R&D leadership at Shimadzu Corporation leading the Life Science Center, where his team received a national award from the Japanese Agency of Science and Technology. In 2002 he founded HiPep Laboratories as CEO & CSO to develop novel biodetection systems, and since 2017 he holds a Professor position at the First School of Clinical Medicine, First Affiliated Hospital, Nanjing Medical University (China). With over 119 publications, more than ~3,365 citations (according to ResearchGate) and numerous patent applications (130+), his research interests include peptide-protein recognition, structural biology, combinatorial chemistry, immunochemistry, instrumentation and drug-discovery technologies. His work has been recognized by multiple awards and national projects for innovation in life-science instrumentation and biomedical applications. In sum, Dr. Nokihara’s career bridges academic discovery, applied instrumentation and entrepreneurial innovation in peptide/bio-molecular sciences.

Profile : Scopus

Featured Publications

Kiyoshi Nokihara (2025). Development of a new biodetection system independent of known marker molecules using a novel material for microarrays made from amorphous carbon substrates. Analytical Methods.

Kiyoshi Nokihara. Construction of cyclic peptide libraries immobilized on gel-type supports for screening towards discovery of interacting peptides. Book Chapter.

Kiyoshi Nokihara (2024). A high-throughput sequence determination for one cyclic peptide immobilized on a single bead by the one-pot cyanidation followed by MALDI-TOF–MS/MS for discovery of interacting peptides. Analytical Sciences.

Kiyoshi Nokihara (2023). A novel cyclic peptide library immobilized on gel-type beads focusing on rapid construction and characterization for comprehensive drug discovery. Chemical Biology and Drug Design.

Kiyoshi Nokihara (2022). Investigation of the behaviors of molecules exhibiting angiogenic actions. International Journal of Peptide Research and Therapeutics.

Kiyoshi Nokihara (2020). Improved design of peptides exhibiting angiogenic activities for clinical applications. Bioorganic and Medicinal Chemistry.

Gleb Sychugov |  Healthcare Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Assoc. Prof. Dr. Gleb Sychugov |  Healthcare Data Analysis | Best Researcher Award

Southern Urals Federal Research and Clinical Center for Medical Biophysics | Russia

Assoc. Prof. Dr. Gleb Sychugov is a distinguished pathologist and medical researcher with a Ph.D. in Medicine and the highest qualification category in pathology. He serves as Deputy Chief Physician at the Chelyabinsk Regional Pathological Anatomy Bureau, Associate Professor at South Ural State Medical University, and Senior Research Fellow at the Southern Urals Federal Research and Clinical Center for Medical Biophysics (SUFRCC MB). With over 190 scientific publications, including 25 in Scopus-indexed journals and 4 patents, Dr. Sychugov has made pioneering contributions to radiation pathology, pulmonary pathology, reproductive system pathology, oncology, and dermatopathology. His research innovations include patented diagnostic algorithms for cervical intraepithelial neoplasia and mucinous ovarian carcinoma, as well as computational models for predicting dermal changes in anti-aging therapy. As Chief Pathologist of the Chelyabinsk Region and the Ural Federal District, he has led multiple regional and federal initiatives in pathology standardization. He actively collaborates in international epidemiological programs and serves on the Presidium of the Russian Society of Pathologists. With Scopus h-index 25, Web of Science h-index 4, and more than 55 citations, Dr. Sychugov continues to advance diagnostic pathology through evidence-based research, mentorship, and innovation, embodying excellence in translational medical science.

Profiles : Orcid | Scopus

Featured Publications

Gogoleva, D. V., & Sychugov, G. V. (2023). Immunohistochemistry of bone marrow extracellular matrix in Ph-negative myeloproliferative diseases. Ural Medical Journal.

Shamanova, A. Yu., Rostovtsev, D. M., Privalov, A. V., Yarina, L. V., Aristarkhova, K. S., Sychugov, G. V., Vasil’kova, I. V., Artem’eva, A. S., Saevets, V. V., & Alymov, E. A. (2023). Undifferentiated pancreatic carcinoma with osteoclast-like giant cells. Russian Journal of Archive of Pathology.

Sychugov, G. V., Kazachkov, E. L., Osovets, S. V., Grigoryeva, E. S., Sychugov, A. G., & Azizova, T. V. (2022). Leukemia inhibitory factor and cellular renewal in various types of pulmonary fibrosis in plutonium production workers. Biology Bulletin.

Zhuntova, G. V., Azizova, T. V., Bannikova, M. V., & Sychugov, G. V. (2022). Characteristics of malignant neoplasms of the hepatobiliary system in the cohort of occupationally-exposed workers. Ural Medical Journal.

Gogoleva, D., & Sychugov, G. (2021). Matrix metalloproteinases and their inhibitors in JAK2-mutated myeloproliferative neoplasms. Virchows Archiv. WOSUID: WOS:000692384500404

Nicholas Otumi | Neuroscience Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Mr. Nicholas Otumi | Neuroscience Data Analysis | Best Researcher Award

University of Rochester | United States

Nicholas Otumi is a biomedical imaging researcher with a strong foundation in diagnostic imaging and deep learning. He holds a BSc in Diagnostic Imaging Technology from the University of Cape Coast (Ghana) and an MS in Diagnostic Imaging (Bioengineering & Biomedical Engineering) from the University of Rochester (USA), where his coursework included deep learning, inverse problems in imaging, clinical imaging, and signal processing. He has held research and technical roles at multiple institutions: as a remote Research Assistant at Indiana University working on pharmaceutical pricing and market analytics, and at the University of Rochester contributing to segmentation (with UNet-R) and image analysis in brain CT. Previously, as a Research and Teaching Assistant at UCC, he supported imaging equipment courses, data analysis, and undergraduate research. His research interests center on medical image analysis, especially applying deep learning to brain MRI and CT segmentation, classification of disease from imaging, and imaging in resource-constrained settings. He has several manuscripts under review or published, including a multicentre survey on advanced brain MRI in low-resource settings and case reports in radiology.  He is a recipient of honors such as the Harry W. Fischer Research Funds (2025) and the HSEAS Dean’s Fellowship (2024) at Rochester, as well as campus leadership awards in Ghana. Nicholas is committed to advancing AI-driven neuroimaging and translational imaging research across low- and middle-income settings, aiming to bridge technology gaps and enhance equitable access to advanced diagnostic tools.

Profiles : Orcid | Google Scholar

Featured Publications

Piersson, A. D., Nunoo, G., Dzefi-Tettey, K., & Otumi, N. (2025). Utility of advanced brain MRI techniques for clinical and research purposes in a low-resource setting: A multicentre survey. Next Research.

Fiagbedzi, E., Arkorful, J., Brobbey, I. F., Appiah, E., Nyarko, S., Otumi, N., Piersson, A. D., Nimo, O., Ofori, I. N., & Gorleku, P. N. (2025). A case of ruptured infrapatellar bursa sac with Baker’s cyst. Radiology Case Reports, 20(1).

Fiagbedzi, E., Arkorful, J., Appiah, E., Otumi, N., Ofori, I., & Gorleku, P. N. (2024). A rare case of intussusception in a 6-month-old baby. Radiology Case Reports, 19(10).

Bipasha Das | Laser Surface Engineering | Best Researcher Award

Published on by Research Data Analysis

Ms. Bipasha Das | Laser Surface Engineering | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Bipasha Das is a dedicated researcher in the field of nanoscience and technology, specializing in surface engineering of titanium alloys for biomedical applications. Her academic journey and research pursuits reflect a strong commitment to advancing the performance of bio-implant materials through innovative laser-based surface modification techniques. With a robust foundation in chemical engineering and environmental engineering, she bridges the gap between materials science and biomedical engineering. Bipasha’s work combines deep theoretical knowledge with extensive experimental expertise, contributing significantly to the improvement of tribological, corrosion, and biocompatibility properties of titanium-based alloys. She has shared her research at prestigious international conferences and published in high-impact journals, gaining recognition for her scientific contributions.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education

Bipasha holds a Ph.D. in Nanoscience and Technology from the Indian Institute of Technology Kharagpur, where her thesis focuses on the “Surface Engineering of Titanium Alloys for Biomedical Applications.” Her doctoral research involves diverse laser processing techniques, including laser surface melting, composite surfacing, shock peening, and hybrid laser processing of Ti6Al4V alloy. She also earned a Master’s degree in Chemical Engineering with a specialization in Environmental Engineering from the University of Calcutta, where she conducted research on photocatalytic degradation of nanocomposite films. Her academic foundation was laid with a Bachelor’s degree in Chemical Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal. This multidisciplinary education has equipped her with strong technical knowledge, analytical skills, and the ability to address challenges at the intersection of materials science, environmental sustainability, and biomedical engineering.

Experience

Throughout her academic and research career, Bipasha has engaged in extensive laboratory work, mastering advanced characterization and testing methods for engineering materials. Her expertise spans metallographic sample preparation, optical microscopy, surface profilometry, X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy, microhardness testing, nanoindentation, electrochemical evaluation, wear testing, and tribocorrosion studies. She has also acquired proficiency in various software tools, data analysis methods, and programming languages, enabling her to interpret experimental results with precision. Her professional experience includes industrial training at reputed companies, where she developed practical knowledge of chemical process operations. Additionally, she has contributed as a speaker at multiple national and international conferences, showcasing her findings to a global scientific community.

Research Interest

Bipasha’s primary research interest lies in enhancing the functional performance of titanium-based alloys for biomedical applications through advanced surface engineering. She focuses on laser-assisted techniques to improve wear resistance, corrosion protection, and biocompatibility of Ti6Al4V alloy implants. Her studies investigate the kinetics and mechanisms of tribo-corrosion, the development of in situ carbide-reinforced titanium matrix composites, and the optimization of surface treatments for long-term implant stability. She is also keenly interested in hybrid laser processing methods that combine mechanical, chemical, and thermal effects to create superior surface properties. Beyond biomedical applications, her background in environmental engineering provides her with an interdisciplinary approach, enabling her to explore sustainable and eco-efficient materials processing.

Awards

Bipasha’s research excellence has been recognized through various academic and professional achievements. She received the Journal of Bio and Tribo-Corrosion (JBTC) award for the best presentation and scientific contribution at the 6th International Conference on Tribo-Corrosion. Her selection as a speaker at numerous international symposia and conferences, including events in the United Kingdom and collaborative Indo-Austrian programs, further demonstrates her prominence in the scientific community. She has also been a recipient of government scholarships in recognition of her academic merit, which has supported her advanced studies and research pursuits.

Publications

Mechanically tailored surface of titanium-based alloy (Ti6Al4V) by laser surface treatment

Authors: Das, B., Srivastava, S. K., Manna, I., & Majumdar, J. D.

Journal: Surface and Coatings Technology

Year: 2024

Studies on Kinetics and Mechanism of Tribo-corrosion of in situ Laser Composite Surfaced Ti6Al4V using diode laser

Authors: Das, B., Srivastava, S. K., Manna, I., & Majumdar, J. D.

Journal: Tribology International

Year: 2025

Conclusion

Bipasha Das exemplifies the qualities of a forward-thinking researcher dedicated to innovation in biomedical materials engineering. Her work in laser-based surface engineering has the potential to significantly impact the design and durability of next-generation bio-implants, offering improved performance and patient outcomes. With her strong academic foundation, cross-disciplinary expertise, and growing international presence, she stands as a promising contributor to both scientific advancement and practical applications in healthcare materials. Her future endeavors are poised to build on her current successes, further bridging the gap between advanced materials processing and biomedical innovation.

Lin Shi | Data collection | Best Researcher Award

Published on by Research Data Analysis

Dr. Lin Shi | Data collection | Best Researcher Award

Beijing Tiantan Hospital | China

PUBLICATION PROFILE

Orcid

Scopus

🎓 EARLY ACADEMIC PURSUITS

Dr. Lin Shi began her medical education at Harbin Medical University, where she earned both her M.D. and M.M. in Clinical Medicine between 2002 and 2009 under the mentorship of Professor Yunfu Cui. Building on this strong foundation, she pursued a Ph.D. in Neurosurgery at Capital Medical University from 2012 to 2015, under the guidance of Professor Zhongcheng Wang. Her academic background laid the groundwork for a career that would bridge clinical excellence with cutting-edge research in functional neurosurgery.

🩺 PROFESSIONAL ENDEAVORS

Dr. Shi’s clinical and academic career spans over 15 years, with progressive roles in major medical institutions. She started as a neurosurgeon at Beijing Haidian Hospital and soon joined Beijing Tiantan Hospital in 2015, where she advanced from neurosurgeon to attending neurosurgeon and eventually to associate senior neurosurgeon and associate professor by 2019. She also broadened her expertise during a visiting scholar appointment at Stanford University’s Center for Neurological Disorders. Throughout her career, she has taken leadership roles in numerous research projects funded by the National Natural Science Foundation of China and the Beijing Municipal Government, while also serving as an expert reviewer and editorial board member in both national and international scientific communities.

🧠 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Shi has made significant contributions in the field of functional brain disorders, which include conditions such as Parkinson’s disease, epilepsy, dystonia, and other rare neurological disorders. Since 2012, she has worked at the forefront of functional neurosurgery, especially in the areas of deep brain stimulation (DBS) and vagus nerve stimulation. Her research has focused on creating a comprehensive neuromodulation therapy system, including the development of a large-scale clinical database of over 5,000 cases, enabling better analysis and understanding of various brain disorders. She has also led mechanism-based studies on epilepsy, exploring inflammation, neurodegeneration, and neural circuitry using advanced animal models and molecular techniques.

🔬 RESEARCH MILESTONES

Dr. Shi’s research includes landmark studies that have advanced our understanding of epilepsy and DBS therapy. She created reliable animal models of temporal lobe epilepsy and demonstrated that anterior thalamic nucleus (ANT) stimulation offers neuroprotective effects by modulating inflammatory responses and promoting autophagy. At Stanford, she explored the functional connectivity of the brain through electrical stimulation, uncovering links between episodic memory and cortical network architecture—research published in Nature Human Behaviour. She also contributed to the expansion of neuromodulation indications by testing new neural targets and stimulation parameters, which provided key insights into delayed therapeutic responses in movement disorders like Parkinson’s disease.

🏅 IMPACT AND INFLUENCE

Dr. Shi’s influence in neurosurgery and neuroscience is widely recognized. She has led or participated in major research projects supported by the Beijing Natural Science Foundation and the NSFC, and has won numerous awards, including the Mao Yisheng Science and Technology Award and Beijing Youth Science and Technology Award. Her contributions to the development of China’s first domestically approved neurosurgical robot greatly enhanced the accuracy of DBS, reducing surgical error margins from 1.7mm to 0.6mm and enabling safer, faster procedures. The robot system she helped design has now been used in thousands of operations across top hospitals in China, generating significant economic and clinical value.

📚 ACADEMIC CITES AND RECOGNITION

Dr. Shi has authored more than 20 peer-reviewed SCI papers, with a cumulative impact factor exceeding 110. Notable publications include a study in JAMA Neurology (IF 18.3) on evolving intracranial lesions and a collaborative paper in Nature Human Behaviour (IF 13.7) that examined the cognitive effects of brain stimulation. Her research has been cited extensively and has received accolades from leading figures in neuroscience, such as Prof. Christof Koch. Additionally, she serves as a reviewer for several SCI journals and is active in multiple academic committees and expert panels in China.

🧬 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Shi aims to continue pushing the boundaries of neuromodulation therapy. She plans to integrate AI and robotics more deeply into neurosurgical practice, expand the use of DBS in psychiatric and rare neurological diseases, and refine patient-specific treatment algorithms using data from her extensive clinical database. Her vision includes bridging translational neuroscience with real-world application through collaboration with biomedical engineers, AI specialists, and international research institutions. With a strong portfolio of patents, publications, and clinical innovations, Dr. Shi is set to leave a lasting legacy in the treatment of functional brain disorders.

🧾 HONORS, PATENTS, AND GRANT HIGHLIGHTS

Dr. Shi holds five national patents, including devices designed for surgical precision and MRI safety. She has led over five major research projects, including the development of an automated navigation system for DBS and studies on novel neurostimulation targets, with total funding exceeding ¥2 million. Her published work spans top-tier journals such as JAMA Neurology, Brain Stimulation, and CNS Neuroscience & Therapeutics. Recognized as a leading voice in functional neurosurgery, she continues to shape the future of neuroscience in China and beyond.

 📚 TOP NOTES PUBLICATIONS

1. Fronto-parieto-subthalamic activity decodes motor status in Parkinson’s disease

  • Authors: Zhang, Q.; Xie, H.; Zhao, B.; Yin, Z.; Liu, Y.; Liu, D.; Bai, Y.; Zhu, G.; Qin, G.; Gan, Y. et al.

  • Journal: CNS Neuroscience and Therapeutics

  • Year: 2023

2. Pallidal activities during sleep and sleep decoding in dystonia, Huntington’s, and Parkinson’s disease

  • Authors: Yin, Z.; Jiang, Y.; Merk, T.; Neumann, W.-J.; Ma, R.; An, Q.; Bai, Y.; Zhao, B.; Xu, Y.; Fan, H. et al.

  • Journal: Neurobiology of Disease

  • Year: 2023

3. Identification of Cuproptosis Clusters and Integrative Analyses in Parkinson’s Disease

  • Authors: Moxuan Zhang; Wenjia Meng; Chong Liu; Huizhi Wang; Renpeng Li; Qiao Wang; Yuan Gao; Siyu Zhou; Tingting Du; Tianshuo Yuan et al.

  • Journal: Brain Sciences

  • Year: 2023

4. Deep Brain Stimulation Electrode Reconstruction: Comparison between Lead-DBS and Surgical Planning System

  • Authors: Yichen Xu; Guofan Qin; Bojing Tan; Shiying Fan; Qi An; Yuan Gao; Houyou Fan; Hutao Xie; Delong Wu; Huanguang Liu et al.

  • Journal: Journal of Clinical Medicine

  • Year: 2023

5. Comparison of dural puncture and dural incision in deep brain stimulation surgery: A simple but worthwhile technique modification

  • Authors: Fan, S.; Zhang, Q.; Meng, F.; Fang, H.; Yang, G.; Shi, Z.; Liu, H.; Zhang, H.; Yang, A.; Zhang, J. et al.

  • Journal: Frontiers in Neuroscience

  • Year: 2022

Yeni W Hartati – Electrochemical biosensor – Best Researcher Award 

Published on by Research Data Analysis

Prof Dr. Yeni W Hartati - Electrochemical biosensor - Best Researcher Award 

Padjadjaran University - Indonesia

Author Profile

Early Academic Pursuits

Prof Dr. Yeni Wahyuni Hartati embarked on her academic journey with a Bachelor's degree in Chemistry from Padjadjaran University, Indonesia, in 1996. This foundational education provided her with a solid grounding in the fundamental principles of chemistry. She continued her academic pursuits by obtaining a Master's degree from the Bandung Institute of Technology in 1999. During this period, Hartati honed her expertise in analytical chemistry, developing a keen interest in electrochemistry and sensor technologies. Her academic journey culminated in a doctoral degree from Padjadjaran University in 2009, where her research focused on electrochemical sensors and biosensors. This advanced study laid the groundwork for her future contributions to the field of analytical chemistry.

Professional Endeavors

Prof Dr. Yeni Wahyuni Hartati began her professional career in 1998 as a lecturer and researcher at Padjadjaran University. Her role at the university has been multifaceted, involving teaching, mentoring, and research. Over the years, Hartati has guided numerous undergraduate, master's, and doctoral students, helping them navigate their research projects and academic pursuits. Her commitment to education is reflected in her ability to inspire and cultivate the next generation of chemists and researchers.

In addition to her teaching responsibilities, Hartati has been actively involved in research. Her work primarily focuses on the development and application of electrochemical sensors and biosensors. In 2008, she expanded her expertise through an overseas non-degree training program under the supervision of Prof. Mehmet Ozsoz at Ege University. This experience enriched her knowledge in biosensors dedicated to clinical analysis, allowing her to bring new insights and techniques back to her home institution.

Contributions and Research Focus

Prof Dr. Yeni Wahyuni Hartati's research has significantly advanced the field of electrochemical sensors and biosensors. She has completed and led 15 research projects, resulting in numerous publications in high-impact journals indexed in SCI, SCIE, Scopus, Web of Science, and PubMed. Her research focuses on developing innovative sensor technologies for various applications, including healthcare, environmental monitoring, and industrial processes.

One of Hartati's notable contributions is the development of an electrochemical biosensor integrated with measurement tools and systems. This innovation, achieved in collaboration with students from the electrical engineering department, exemplifies her ability to bridge interdisciplinary fields and create practical solutions to complex problems. Her research has not only advanced scientific knowledge but also resulted in tangible products that enhance analytical capabilities in various sectors.

Accolades and Recognition

Prof Dr. Yeni Wahyuni Hartati's dedication to research and education has earned her several accolades and recognitions. She has received three significant awards for her contributions to electrochemical sensors and biosensors. These awards highlight her commitment to excellence and her impact on the scientific community. Additionally, Hartati has published five books, including textbooks, reference books, and conference proceedings, further demonstrating her influence and authority in her field.

Her academic achievements are also reflected in her citation index, with 676 citations in Scopus, Web of Science, and other reputable databases. Hartati's h-index of 13 underscores the impact and relevance of her research. She has also been an invited speaker and resource person at numerous conferences and workshops, sharing her expertise and fostering collaborations with industry partners, government agencies, and the academic community.

Impact and Influence

Prof Dr. Hartati's work has had a profound impact on the field of analytical chemistry and beyond. Her research on electrochemical sensors and biosensors has led to the development of novel technologies that enhance analytical capabilities in healthcare, environmental monitoring, and industrial processes. By translating research findings into practical solutions and products, Hartati has contributed to the advancement of these fields and the betterment of society.

Her involvement in extension activities, such as workshops, seminars, and outreach programs, has enabled her to disseminate research outcomes and foster collaborations with various stakeholders. These efforts have facilitated the adoption of sensor technologies and promoted scientific advancement. Hartati's influence extends beyond her research, as she has played a pivotal role in shaping the academic and professional trajectories of her students and colleagues.

Legacy and Future Contributions

As Yeni Wahyuni Hartati continues her career, her legacy is marked by her unwavering commitment to research, education, and innovation. She has successfully mentored and guided 96 research scholars to graduation and is currently supervising 10 ongoing research projects. Her collaborative spirit is evident in the 25 joint publications and projects she has been involved in, as well as the two functional MoUs with other universities and industries.

Looking to the future, Hartati aims to further advance the field of electrochemical sensors and biosensors through continued research and collaboration. She is dedicated to exploring new frontiers in sensor technology, with a focus on developing more efficient and accurate analytical tools. Her vision includes expanding her research to address emerging challenges in healthcare, environmental sustainability, and industrial innovation.

Yeni Wahyuni Hartati's contributions to science and education have left an indelible mark on the academic and research community. Her legacy is characterized by her dedication to advancing knowledge, fostering innovation, and making a positive impact on society. As she continues to push the boundaries of analytical chemistry, Hartati remains a leading figure in her field, inspiring future generations of scientists and researchers.

Citations

A total of 1086 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    1086
  • h-index       17
  • i10-index    30

Notable Publication

 

MD Rabiul Islam – Biomedical Signal Processing Award – Best Researcher

Published on by Research Data Analysis

Mr. MD Rabiul Islam - Biomedical Signal Processing Award - Best Researcher

Texas A&M University - Bangladesh

Author Profile

Early Academic Pursuits

Mr. Md. Rabiul Islam embarked on his academic journey with a solid foundation in Electrical and Electronic Engineering (EEE) at Khulna University of Engineering & Technology (KUET), Bangladesh. He demonstrated exceptional academic prowess, achieving a remarkable CGPA of 4.00 out of 4.00 in his M.Sc. Eng. (EEE) and 3.63 out of 4.00 in his B.Sc. Eng. (EEE). His dedication and passion for learning were evident from his early years, as evidenced by his consistent academic excellence throughout his educational endeavors.

Professional Endeavors

Mr. Rabiul Islam's professional journey has been characterized by a blend of teaching, research, and leadership roles. He started as a Lecturer at the Department of EEE, North Western University, Khulna, Bangladesh, where he imparted knowledge in electrical circuits, digital signal processing, and measurement and instrumentation. His commitment to academia led him to progressively higher positions, culminating in his current role as an Assistant Professor (on Leave) at the Department of EEE, Bangladesh Army University of Engineering & Technology, Natore, Bangladesh.

Contributions and Research Focus

Driven by a passion for Artificial Intelligence (AI), Rabiul Islam has made significant contributions to the field of medical imaging, AI, machine learning, signal processing, computer vision, and pattern recognition. His research interests span a wide spectrum, including emotion recognition from EEG signals, fall detection systems, text detection, skin lesion classification, and more. His current focus lies in medical image analysis, particularly in cardiac imaging, exploring the application of AI in heart disease diagnosis and assessment.

Accolades and Recognition

Mr. Rabiul Islam's academic and research contributions have earned him prestigious accolades and recognition. He has authored numerous journal papers and conference papers, demonstrating his expertise in various domains. Notably, his paper titled "Multiple Regression Analysis Based Non-Invasive Blood Glucose Level Estimation Using Photoplethysmography" received the Best Paper Award at the 2021 International Conference on Automation, Control, and Mechatronics for Industry 4.0.

The Biomedical Data Analysis and Signal Processing Award recognizes outstanding contributions in the realm of biomedical signal processing and data analysis. This prestigious accolade celebrates advancements in techniques and methodologies utilized to extract meaningful insights from various biomedical signals and data sources. From intricate physiological signals to complex medical imaging data, recipients of this award demonstrate innovation and excellence in applying signal processing techniques, such as digital signal processing, time-frequency analysis, and pattern recognition, to analyze and interpret biomedical information.

Impact and Influence

Through his research endeavors, Rabiul Islam has contributed significantly to advancing knowledge and innovation in the fields of AI, machine learning, and biomedical signal processing. His work on emotion recognition, fall detection systems, and medical image analysis has the potential to revolutionize healthcare diagnostics and enhance patient care. His publications have been widely cited, indicating the impact and influence of his research within the scientific community.

Legacy and Future Contributions On Biomedical Signal Processing Award

As a dedicated scholar and educator, Rabiul Islam's legacy lies in his commitment to academic excellence, research innovation, and mentorship. He continues to inspire future generations of researchers through his teaching, supervision, and scholarly activities. Moving forward, he aims to further explore the intersection of AI, healthcare, and technology to address pressing societal challenges and improve the quality of life globally. His future contributions are poised to leave a lasting imprint on the fields of AI and medical imaging, shaping the landscape of healthcare and technology.

Citations

  • Citations   861
  • h-index       12
  • i10-index    14

Notable Publication