Mine Gulaboglu | Drug Discovery and Development | Research Excellence Award

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Prof. Dr. Mine Gulaboglu | Drug Discovery and Development | Research Excellence Award

Ataturk University | Turkey 

Prof. Dr. Mine Gülaboğlu is a distinguished scholar in Biochemistry, Pharmacology, and Basic Pharmaceutical Sciences, currently serving as the Head of the Department of Basic Pharmaceutical Sciences at Atatürk University, Faculty of Pharmacy. She completed her Ph.D. in Medical Biochemistry in 2004, following her postgraduate specialization (1990–1993) and undergraduate training in Chemistry (1982–1986), all at Atatürk University.With extensive academic and administrative service, she has held key roles such as Faculty Board Member, Departmental Academic Incentive Evaluation Chair, Performance Evaluation Committee Member, Criteria Committee Member, and Education Committee Member. Her commitment to academic excellence is further demonstrated through numerous jury memberships for professorship, associate professorship, postgraduate examinations, doctoral thesis monitoring, and scientific evaluations.Prof. Dr. Gülaboğlu’s research focuses on health sciences, particularly biochemistry, pharmacology, therapeutics, and pharmaceutical sciences. She has authored impactful research articles in high-ranking journals such as Scientific Reports, Biomedicines, Experimental Eye Research, European Review for Medical and Pharmacological Sciences, and others. Her scientific contributions include investigations into oxidative stress, drug-induced toxicity, protective biochemical agents, nanoformulations, and molecular mechanisms underlying disease pathology.Over her career, she has completed numerous certifications, trainings, and specialized courses in molecular techniques, pharmacology, chemometrics, laboratory quality systems, education management, energy efficiency, environmental sustainability, and occupational safety. She is also proficient in English at an intermediate level.A dedicated educator, Prof. Dr. Gülaboğlu teaches a wide range of courses across undergraduate, postgraduate, and doctoral levels, including Biochemistry, Protein Separation Techniques, Vitamins and Coenzymes, Metabolism, Research Methods, and Project Courses.Prof. Dr. Mine Gülaboğlu continues to contribute profoundly to scientific research, education, and academic leadership in Türkiye, shaping future generations of pharmaceutical and biomedical scientists.

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Featured Publications

Altuner, D., Gulaboglu, M., Yapca, O. E., & Cetin, N. (2013). The effect of mirtazapine on cisplatin-induced oxidative damage and infertility in rat ovaries. The Scientific World Journal, 2013(1), 327240.

Bilici, M., Ozturk, C., Dursun, H., Albayrak, F., Saglam, M. B., Uyanik, A., … (2009). Protective effect of mirtazapine on indomethacin-induced ulcer in rats and its relationship with oxidant and antioxidant parameters. Digestive Diseases and Sciences, 54(9), 1868–1875.

Gulaboglu, M., Borekci, B., & Delibas, I. (2010). Urine iodine levels in preeclamptic and normal pregnant women. Biological Trace Element Research, 136(3), 249–257.

Gulaboglu, M., Borekci, B., & Halici, Z. (2007). Placental tissue iodine level and blood magnesium concentration in pre-eclamptic and normal pregnancy. International Journal of Gynecology & Obstetrics, 98(2), 100–104.

Coskun, R., Turan, M. I., Turan, I. S., & Gulapoglu, M. (2014). The protective effect of thiamine pyrophosphate, but not thiamine, against cardiotoxicity induced with cisplatin in rats. Drug and Chemical Toxicology, 37(3), 290–294.

Gulaboglu, M., Yildiz, L., Celebi, F., Gul, M., & Peker, K. (2005). Comparison of iodine contents in gastric cancer and surrounding normal tissues. Clinical Chemistry and Laboratory Medicine, 43(6), 581–584.

Özer, A. K., Gülaboğlu, M., & Bayrakçeken, S. (2000). Physical structure and chemical and mineralogical composition of the Mazıdağı (Turkey) phosphate rock. Industrial & Engineering Chemistry Research, 39(3), 679–683.

Vijay Kumar | Drug Discovery and Development | Editorial Board Member

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Assoc. Prof. Dr. Vijay Kumar | Drug Discovery and Development | Editorial Board Member

Dr B R Ambedkar NIT Jalandhar, India

Assoc. Prof. Dr. Vijay Kumar is a distinguished researcher, academician, and innovator in the fields of artificial intelligence, machine learning, biomedical informatics, cybersecurity, image processing, and computational intelligence. Over the course of his career, he has established himself as a prolific contributor whose research bridges advanced computational theories with real-world applications, particularly in healthcare, pandemic intelligence, medical imaging, network security, and autonomous systems. His academic journey is defined by a commitment to solving high-impact global challenges through intelligent algorithms, deep learning frameworks, optimization strategies, and secure data-driven technologies.Dr. Vijay Kumar’s scholarly work reflects exceptional depth and diversity. He has authored impactful publications in leading journals such as IEEE Transactions on Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, Vaccine, Artificial Intelligence Review, Archives of Computational Methods in Engineering, Multimedia Tools and Applications, Computers in Biology and Medicine, and Biomedical Signal Processing and Control. His research spans a broad spectrum—from deepfake detection, autonomous vehicle visibility enhancement, multi-objective optimization, and cybersecurity frameworks, to intelligent diagnostic models for COVID-19, breast cancer, cervical cancer, and other critical diseases. His studies on advanced metaheuristic algorithms, chaotic encryption systems, drug synergy prediction, air-quality forecasting, and big healthcare data security have contributed significantly to modern computational science. A visionary in interdisciplinary AI, Dr. Kumar has collaborated extensively with international researchers, producing high-impact work on deep neural networks, generative adversarial models, hybrid optimization techniques, multimodal medical imaging, and cloud-based encryption systems. His contributions to pandemic preparedness, especially ML-driven vaccine development roadmaps and intelligent screening systems, highlight his dedication to translating technology into meaningful societal outcomes.He is also recognized for designing innovative algorithms such as lightweight NIDS architectures, evolutionary visibility restoration models, customized dehazing networks, and novel feature-selection optimizers. His body of work has become a reference point for emerging scholars in computer science, health informatics, and computational engineering.Dr. Vijay Kumar continues to lead transformative research, mentor young scientists, and contribute to global scientific advancement through his extensive publication record, collaborative projects, and commitment to innovation. His enduring academic excellence and forward-looking approach place him among the most influential researchers driving the future of intelligent systems and healthcare-focused artificial intelligence.

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Featured Publications

Katoch, S., Chauhan, S. S., & Kumar, V. (2020). A Review on Genetic Algorithm: Past, Present, and Future. Multimedia Tools and Applications, 52, 5252.

Dhiman, G., & Kumar, V. (2019). Seagull optimization algorithm: Theory and its applications for large‑scale industrial engineering problems. Knowledge‑Based Systems, 165, 169‑196.

Dhiman, G., & Kumar, V. (2017). Spotted Hyena Optimizer: A Novel Bio‑inspired based Metaheuristic Technique for Engineering Applications. Advances in Engineering Software, 114, 48‑70.

Dhiman, G., & Kumar, V. (2018). Emperor Penguin Optimizer: A Bio‑inspired Algorithm for Engineering Problems. Knowledge‑Based Systems, 159, 20‑50.

Singh, D., Kumar, V., Vaishali, & Kaur, M. (2020). Classification of COVID‑19 patients from chest CT images using multi‑objective differential evolution–based convolutional neural networks. European Journal of Clinical Microbiology & Infectious Diseases, 39, 1379‑1389.

Jaiswal, A., Gianchandani, N., Singh, D., Kumar, V., & Kaur, M. (2020). Classification of the COVID‑19 infected patients using DenseNet201 based deep transfer learning. Journal of Biomolecular Structure and Dynamics, 73, 1‑?.

Dhiman, G., Garg, M., Nagar, A., Kumar, V., & Dehghani, M. (2020). A Novel Algorithm for Global Optimization: Rat Swarm Optimizer. Journal of Ambient Intelligence and Humanized Computing, 5, 12‑?.

Das, N. N., Kumar, N., Kaur, M., Kumar, V., & Singh, D. (2020). Automated deep transfer learning‑based approach for detection of COVID‑19 infection in chest X‑rays. IRBM, 4, 25‑?.

Kaur, M., & Kumar, V. (2020). A comprehensive review on image encryption techniques. Archives of Computational Methods in Engineering, 27(1), 390.