Reihaneh Sadeghian | Neuroscience | Best Researcher Award

Assist. Prof. Dr. Reihaneh Sadeghian | Neuroscience | Best Researcher Award

Assistant Professor of Physiology | Kerman University of Medical Sciences | Iran

Dr. Reihaneh Sadeghian is an accomplished researcher and Assistant Professor of Neurophysiology at Kerman University of Medical Sciences, specializing in neurophysiology, pharmacology, and translational medicine. She completed her academic journey with a PhD in Neurophysiology from Hamadan University of Medical Sciences, building on her strong foundation in physiology and medical sciences. With extensive teaching and mentoring experience, she has supervised numerous MD and postgraduate theses while contributing to the advancement of medical education. Her professional career includes significant roles in both research and academia, where she has collaborated on national and international projects such as global burden of disease studies. Her research interests focus on addiction, neurodegenerative diseases, oxidative stress, diabetes, exercise physiology, and the development of novel therapeutic strategies, often integrating molecular biology and clinical applications. She has published nearly 50 peer-reviewed articles in reputed journals like The Lancet, Heliyon, Talanta, and Biomedicine & Pharmacotherapy, many indexed in Scopus and Web of Science, and has actively presented her work in international conferences. Dr. Sadeghian is a member of professional societies including IBRO, the Iranian Neuroscience Society, and the Iranian Society of Physiology and Pharmacology, and has been recognized for her contributions to scientific research and academic service. Her research skills include animal modeling, molecular and biochemical analysis, clinical collaborations, and interdisciplinary integration of neuroscience with pharmacology and medical technology. She has demonstrated strong leadership in guiding young researchers, advancing scientific knowledge, and fostering collaboration. Her scholarly influence is highlighted by 999 citations from 909 documents across 37 publications with an h-index of 14.

Profiles : Google ScholarORCID | Scopus

Featured Publications

1.Abdollahi, N., Hatami, H., Shanehbandi, D., Shabani, M., & Sadeghian, R. (2024). Long-term treatment with buprenorphine increased TLR1 receptor expression in methamphetamine rats’ brainstems. Journal of Advances in Medical and Biomedical Research, 32(150), 9.

2.Khajehnasiri, N., Hosseini, M., Piraki, P., Ghowsi, M., Rahbarnia, L., Habibi, P., & Sadeghian, R. (2023). Diverse long-term exercise intensity effects on appetite and body weight regulation: Arcuate Neuropeptide-Y and Proopiomelanocortin gene function. Physiology and Pharmacology, 27(4), 417.

3.Shahidi, S., Rafiee, H., Sohrabi, S., Mohebi, N., Jahani, M., Sohrabi, F., Hakhamaneshi, E., Azar, S. M., Komaki, A., Afshar, S., & Sadeghian, R. (2023). Effects of swimming exercise during pre-adolescence on learning and memory in adult rats: Behavioral and electrophysiological approaches. Physiology and Pharmacology, 27(2), 6.

4.Farzadfar, F., Naghavi, M., Sepanlou, S. G., Saeedi Moghaddam, S., Dangel, W. J., Davis Weaver, N., Aminorroaya, A., Azadnajafabad, S., Koolaji, S., Mohammadi, E., … Sadeghian, R. (2022). Health system performance in Iran: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 399(10335), 1877–1895.

5.Kholghi, A., Hatami, H., Khajehnasiri, N., & Sadeghian, R. (2022). Intraperitoneal injection of buprenorphine on anxiety-like behavior and alteration in expression of Gfap and Nrf2 in methamphetamine treated rats. Veterinary Research Forum, 13(2), 311–318.

Assist. Prof. Dr Alexandros Tzallas | Brain Computer Interface | Best Researcher Award

Assist. Prof. Dr Alexandros Tzallas | Brain Computer Interface | Best Researcher Award

Associate Professor at University of Ioannina,Greece

Dr. Alexandros T. Tzallas, born on May 16, 1977, in Arta, Greece, is a distinguished researcher and academician specializing in Biomedical Engineering. Currently, he serves as an Associate Professor at the University of Ioannina, Greece, and holds various prestigious academic and research affiliations internationally. With a robust career spanning decades, he is recognized for his pioneering work in EEG signal analysis, machine learning, and neuroinformatics.

Profile

google scholar

Early Academic Pursuits 🎓

Dr. Alexandros T. Tzallas laid the foundation of his illustrious career with a BSc in Physics from the University of Ioannina in 2001. His intellectual curiosity led him to pursue a Ph.D. in Medical Sciences, also at the University of Ioannina, which he completed in 2009. His thesis, titled Automated Diagnosis of Electroencephalogram (EEG), set the stage for his pioneering work in biomedical engineering.

Professional Endeavors 💼

Over two decades, Dr. Tzallas has built a remarkable professional trajectory. Currently, he is an Associate Professor of Biomedical Engineering at the University of Ioannina, Greece, and an Honorary Research Fellow at Imperial College London. He also contributes to academic programs as an adjunct faculty member and academic supervisor in Greece. His earlier roles include assistant professorships, research fellowships, and adjunct lecturing positions at several esteemed institutions.

Contributions and Research Focus 🔬

Dr. Tzallas’s research is a confluence of biomedical engineering and data science, focusing on the development of machine learning algorithms for medical applications. His contributions include 98 peer-reviewed journal publications, 91 conference papers, and three granted patents. Notable works include advancements in diagnosing liver fibrosis, Parkinson’s disease, Alzheimer’s disease, and epileptic seizures using innovative computational methods. His research has significantly influenced medical technology and healthcare solutions globally.

Accolades and Recognition 🏆

Dr. Tzallas’s academic contributions have earned him extensive recognition. With over 4,400 citations and an impressive h-index of 30 on Google Scholar, his work is highly regarded in scientific circles. His patents and publications underscore his innovative approach to solving complex biomedical problems. His collaborative projects with leading institutions like Imperial College London further highlight his international impact.

Impact and Influence 🌍

Through groundbreaking research and teaching, Dr. Tzallas has inspired countless students and professionals in biomedical engineering. His work on wearable systems and computational models has not only advanced healthcare technologies but also improved the quality of life for patients with chronic conditions like Parkinson’s disease.

Legacy and Future Contributions ✨

Dr. Tzallas’s legacy is rooted in his relentless pursuit of innovation and excellence. His contributions to academia and industry set a benchmark for interdisciplinary research. As he continues to explore the frontiers of biomedical engineering, his work promises to lead to more revolutionary advancements in healthcare, inspiring the next generation of researchers to push the boundaries of what is possible.

Publication Top Notes

Brain Computer Interface

  1. Forlano R., Mullish B.H., Giannakeas N., Maurice J.B., Angkathunyakul N., Lloyd J., Tzallas A.T., et al.
    • Clinical Gastroenterology and Hepatology
    • 2019 (in press)
  2. Arjmand A., Tsipouras M.G., Tzallas A.T., Forlano R., Manousou P., Giannakeas N.
    • Applied Sciences
    • 2020
  3. Tsouros D.C., Smyrlis P.N., Tsipouras M.G., Tsalikakis D.G., Giannakeas N., Tzallas A.T., Manousou P.
    • Health and Technology
    • 2020
  4. Arjmand A., Angelis C.T., Christou V., Tzallas A.T., Tsipouras M.G., Glavas E., et al.
    • Applied Sciences
    • 2020
  5. Kalafatakis K., Giannakeas N., Lightman S., Charalampopoulos I., Russell G., Tsipouras M., Tzallas A.T.
    • Neuroscience Letters
    • 2019
  6. Petrikis P., Tigas S., Tzallas A.T., Karampas A., Papadopoulos I.
    • International Journal of Psychiatry in Clinical Practice
    • 2019
  7. Christou V., Brown G., Tsipouras M.G., Giannakeas N., Tzallas A.T.
    • Neurocomputing
    • 2019
  8. Tzimourta K.D., Giannakeas N., Tzallas A.T., Astrakas L.G., Afrantou T., Ioannidis P., et al.
    • Brain Sciences
    • 2019
  9. Tzimourta K.D., Afrantou T., Ioannidis P., Karatzikou M., Tzallas A.T., Giannakeas N., et al.
    • Computers and Electrical Engineering Journal
    • 2019
  10. Tzimourta K.D., Tzallas A.T., Giannakeas N., Astrakas L.G., Tsalikakis D.G., Angelidis P., Tsipouras M.G.
    • Health and Technology
    • 2018
  11. Christou V., Tsipouras M.G., Giannakeas N., Tzallas A.T.
    • Neurocomputing
    • 2018
  12. Tzallas A.T., Tsipouras M.G., Rigas G., Tsalikakis D.G., Karvounis E.C., Chondrogiorgi M., et al.
    • Sensors
    • 2014