Abouzar Bazyar | Finantial Mathematics | Best Researcher Award

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Dr. Abouzar Bazyar| Finantial Mathematics | Best Researcher Award

IRAN, Persian Gulf University Iran

Abouzar Bazyari is a dedicated academic at Persian Gulf University in Bandar Būshehr, Iran. Since 2011, he has been part of the Department of Statistics within the Faculty of Intelligent Systems Engineering and Data Science. Abouzar’s research focuses on risk models, ruin probabilities, and statistical methods. With numerous publications in top journals, he has contributed extensively to the fields of statistical modeling and insurance risk processes. His academic work emphasizes understanding the behavior of risk models under various conditions, exploring solutions for complex statistical challenges, and enhancing theoretical frameworks in risk management.

Publication Profile

Scopus

Orcid

🎓 Education

Abouzar Bazyari holds advanced degrees in statistics and related fields, showcasing his deep expertise in mathematical and statistical theories. His academic journey has been focused on building a comprehensive understanding of statistical models and their applications in risk analysis. He is committed to enhancing statistical methods for real-world problem-solving, particularly in areas such as insurance and financial modeling. Abouzar’s education underscores his commitment to contributing to statistical sciences through research and practical applications.

💼 Experience

Since 2011, Abouzar Bazyari has been a distinguished faculty member at Persian Gulf University, teaching and conducting research in the Department of Statistics. His role involves designing courses, mentoring students, and collaborating on research projects. His academic experience is rooted in the analysis of statistical processes related to risk management. With years of expertise in both teaching and research, Abouzar has established a strong reputation in the field, particularly through his work on ruin probabilities and statistical modeling. His professional contributions span both education and impactful research publications.

🏆 Awards & Honors

Abouzar Bazyari has received numerous accolades for his contributions to statistical sciences, including recognition for his work on risk modeling and ruin probabilities. His research articles are frequently published in prestigious journals such as the Journal of Statistical Planning and Inference and Communications in Statistics. These honors highlight his impact in the statistical community, particularly in the development of theories related to risk management and statistical inference. Abouzar’s work continues to be highly regarded for advancing the understanding of statistical challenges in risk models.

🔬 Research Focus

Abouzar Bazyari’s research primarily revolves around the study of ruin probabilities and statistical risk models. His work explores the intricacies of risk processes, including discrete-time models, insurance risk processes, and capital injections. Abouzar aims to enhance the theoretical understanding of risk management through the application of advanced statistical techniques. His recent publications delve into compound binomial models, state-space models, and Markov chain properties, all while seeking optimal solutions for insurance and financial risk management. His research continues to influence both theoretical advancements and practical applications in statistical modeling.

Publication Top Notes

  • On the Ruin Probabilities for a General Perturbed Renewal Risk Process
    Journal of Statistical Planning and Inference, 2023 | Preprint
    Contributors: Abouzar Bazyari

 

  • On the Ruin Probabilities in a Discrete Time Insurance Risk Process with Capital Injections and Reinsurance
    Sankhyā A: The Indian Journal of Statistics, 2023 | Preprint
    Contributors: Abouzar Bazyari

 

  • Inequalities on the Ruin Probability for Light-Tailed Distributions with Some Restrictions
    Communications in Statistics – Theory and Methods, 2023-11-22 | Journal article
    Contributors: Abouzar Bazyari

 

  • Ruin Related Quantities in a Class of State-Space Compound Binomial Models
    Journal of Statistical Modelling: Theory and Applications, 2023-07-11 | Journal article
    Contributors: Abouzar Bazyari

 

  • Optimal Ruin Probabilities in the Excess Loss Reinsurance Model
    Journal of Statistical Sciences, 2023-06-15 | Journal article
    Contributors: Abouzar Bazyari

 

  • Infinite Time Ruin Probability in the Risk Model of Excess Loss Reinsurance
    Journal of Statistical Sciences, 2022 | Journal article
    Contributors: Abouzar Bazyari

 

  • Ruin Probabilities for Two Risk Models with Asymptotically Independent and Dependent Classes
    Journal of the Iranian Statistical Society, 2022-08-22 | Journal article
    Contributors: Abouzar Bazyari

 

  • On the Evaluation of Ruin Probabilities in a Generalized Dual Binomial Risk Model Using Markov Property
    Communications in Statistics – Theory and Methods, 2022-07-12 | Journal article
    DOI: 10.1080/03610926.2022.2093910
    Contributors: Abouzar Bazyari

 

  • Ruin Probabilities in a Discrete-Time Risk Process with Homogeneous Markov Chain
    Journal of Statistical Modelling: Theory and Applications (JSMTA), 2022-07-05 | Journal article
    Contributors: Abouzar Bazyari

 

  • The Bayesian Wavelet Thresholding Estimators of Nonparametric Regression Model Based on Mixture Prior Distribution
    Journal of Statistical Sciences, 2021 | Journal article
    Contributors: Abouzar Bazyari

 

  • An Asymptotic Two-Sided Test in a Family of Multivariate Distribution
    Journal of Statistical Theory and Applications, 2020 | Journal article
    DOI: 10.2991/jsta.d.200511.001
    Contributors: Abouzar Bazyari

 

 

Neeraj Kumar Pandey | Pharmaceutical Sciences | Young Scientist Award

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Mr. Neeraj Kumar Pandey | Pharmaceutical Sciences | Young Scientist Award

Guru kashi university, India

Neeraj Kumar Pandey is a dedicated pharmacist from Singahi, Sahatwar, Ballia, India, with a strong passion for healthcare and pharmaceutical sciences. He holds a Diploma in Pharmacy from Guru Kashi University, where he excelled academically. With hands-on experience in hospital training and roles as a campus ambassador, NSS volunteer, and journal reviewer, he actively contributes to the healthcare sector. Neeraj has published multiple books and research articles, highlighting his expertise in pharmaceutical education. His skills include pharmaceutical dispensing, patient counseling, and content development. He has received several awards, including the International Icon Award 2024.

 

Publication Profile

Orcid

🎓 Education

Neeraj Kumar Pandey completed his high school and intermediate education under the UP Board with outstanding scores. He pursued a Diploma in Pharmacy from Guru Kashi University, achieving top marks in both years. Additionally, he completed software development training, enhancing his technical proficiency. His academic journey reflects his commitment to excellence in pharmaceutical sciences.

💼 Experience

Neeraj has gained practical experience through hospital training at SDH Talwandi Sabo and worked as Nikshay Mitra, contributing to tuberculosis eradication. He serves as a campus ambassador for PW Skills & MyGov and is an active NSS volunteer. Additionally, he reviews research articles for UGC Care List Journals, demonstrating his engagement with academic and professional communities. His diverse experience strengthens his expertise in pharmacy and healthcare.

🏆 Awards & Honors

Neeraj has been recognized with multiple prestigious awards, including the SBI Student of the Year Award 2013, Certificate of Merit, Award of Appreciation, Award of Excellence, and the International Icon Award 2024. His achievements highlight his dedication to academic excellence and contributions to healthcare and research. These accolades reflect his commitment to professional growth and leadership in the pharmaceutical sector.

🔬 Research Focus

Neeraj’s research interests span various pharmaceutical fields, including drug dispensing, patient care, and psychopharmacology. His publications cover topics such as psychosomatic disorders and erectile dysfunction in young men. He has also authored books on pharmaceutical chemistry, human anatomy, and medical ethics, emphasizing his deep engagement with research and education. His work aims to bridge knowledge gaps in pharmacy and healthcare.

Publication Top Notes

  • Mind Body Nexus: Bridging Gaps in Psychosomatic Disorders Treatment and Assessment for Holistic Care
    Goya Journal, 2024-02-24 | Journal article
    Contributors: Neeraj Kumar Pandey, Devinder Maheswary

 

  • Cognite: Pharmaceutical Chemistry
    Notion Press Media Pvt. Ltd., 2024-02-02 | Book
    Contributors: Neeraj Kumar Pandey, Inderjeet Kaur

 

  • Atharva: A Medicinal Plants Handbook
    Notion Press Media Pvt. Ltd., 2024-01-19 | Book
    Contributors: Neeraj Kumar Pandey, S. Pargat Singh

 

  • Pharmaceutical Practical Handbook
    Notion Press Media Pvt. Ltd., 2024-01-10 | Book
    Contributors: Neeraj Kumar Pandey, Dr. Devinder Kumar Maheshwari

 

Nasrin Mehranfard | Neurodegeneration | Best Researcher Award

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Dr. Nasrin Mehranfard | Neurodegeneration | Best Researcher Award

Researcher, Cellular and Molecular Medicine Research Institute Iran

 Nasrin Mehranfard is a physiologist specializing in neurodegenerative disorders, ion channels, and synaptic plasticity. She earned her B.Sc. in Midwifery from Shiraz University of Medical Sciences, followed by an M.Sc. in Physiology from the same institution.  She completed her Ph.D. in Physiology at Shahid Beheshti University of Medical Sciences, Tehran, Iran.  Her research focuses on electrophysiology, neuroplasticity, and behavioral neuroscience.  She has attended multiple national and international neuroscience and physiology congresses.  She has taught physiology at various universities, including Tehran University and Shiraz University of Medical Sciences. She has published research on electrophysiology and behavioral neuroscience.  She has expertise in whole-cell patch clamp recording, deep brain stimulation, and stereotaxic surgery. She has contributed to neuroscience books and helped set up electrophysiological labs in Iran.

 

Publication Profile

Scopus

Orcid

🎓 Education

B.Sc. in Midwifery, Shiraz University of Medical Sciences, Iran.  M.Sc. in Physiology, Shiraz University of Medical Sciences, Iran.  Ph.D. in Physiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Specialized in neurophysiology, focusing on electrophysiology and behavioral neuroscience. Ranked 2nd in the Ph.D. General Entrance Exam of Physiology in Iran. Completed training in behavioral neuroscience, electrophysiological recording, and neuroplasticity techniques. Attended international neuroscience and physiology congresses, including IBRO School of Neuroscience in China. Conducted extensive research on ion channels and synaptic plasticity. Developed expertise in brain ischemia/reperfusion models and hippocampal tissue preparation. Authored book chapters on neuroscience techniques, including passive avoidance learning and whole-cell patch clamp methods.

💼 Experience

Lecturer of Physiology at Arak University of Medical Sciences, Khomein Faculty. Instructor of Physiology at Jahade Daneshgahee, affiliated with Tehran University. Electrophysiology Researcher at Tehran University of Medical Sciences. Faculty member at Ghom University of Medical Sciences, Iran.  Lecturer at Behbahan Azad University of Medical Sciences, Iran.  Instructor at Shiraz University of Medical Sciences, teaching physiology to nursing and midwifery students.  Neuroscience researcher at Shahid Beheshti University of Medical Sciences. Assisted in establishing intracellular patch-clamp recording and field potential recording laboratories. Set up Morris Water Maze and behavioral neuroscience labs for advanced neurophysiology research. Conducted training workshops on electrophysiological techniques and behavioral neuroscience.

🏆 Awards & Honors

Ranked 2nd in the National Ph.D. Entrance Exam for Physiology in Iran. Won a travel grant to attend IBRO School of Neuroscience in Beijing, China. Speaker at multiple national and international neuroscience congresses. Awarded for contributions to electrophysiology and behavioral neuroscience research. Recognized for setting up electrophysiology labs at Shahid Beheshti University of Medical Sciences. Published research on synaptic plasticity and ion channels in high-impact journals. Authored book chapters on neuroscience techniques.
Selected as an instructor for international neuroscience workshops.Recognized for developing experimental models in neurophysiology research. Contributor to neuroscience education and curriculum development in Iran.

🔬 Research Focus

 Neurodegenerative disorders and their impact on synaptic plasticity. Electrophysiological recordings, including whole-cell patch clamp and field potential methods. Role of ion channels in neurological diseases. Deep brain stimulation techniques and their effects on neural activity. Experimental models of ischemia/reperfusion injury in the brain.
Behavioral neuroscience, including formalin test, Morris Water Maze, and shuttle box studies. Pharmacological interventions in neurological disorders. Synaptic transmission and plasticity mechanisms in the hippocampus. Translational research linking basic neuroscience to clinical applications. Development of novel electrophysiological and behavioral neuroscience methodologies.

Publication Top Notes

  • Honey protects against chronic unpredictable mild stress induced-intestinal barrier disintegration and hepatic inflammation

 

  • Negative relationship between brain α1A-AR neurotransmission and βArr2 levels in anxious adolescent rats subjected to early life stress

 

  • Norepinephrine, neurodevelopment and behavior

 

  • Effects of chronic scheduled-caloric dietary on ghrelin secretion and food intake in adult male rats
    • Year: 2019
    • Authors: Halabian, Alireza; Mehranfard, Nasrin; Radahmadi, Maryam; Ghasemi, Maedeh
    • Citation: Physiology and Pharmacology, WOSUID: WOS:000488628800006

 

  • Mechanisms underlying anticonvulsant and proconvulsant actions of norepinephrine

 

  • Modulatory effect of ventromedial hypothalamic D2 receptors on leptin and glucose concentration
    • Year: 2018
    • Authors: Ghasemi, Maedeh; Mehranfard, Nasrin; Alaei, HojjatAllah
    • Citation: Physiology and Pharmacology, WOSUID: WOS:000441094000007

 

  • Decrease of high voltage Ca2+ currents in the dentate gyrus granule cells by entorhinal amyloidopathy is reversed by calcium channel blockade
    • Year: 2017
    • Authors: Pourbadie, Hamid Gholami; Naderi, Nima; Delavar, Hadi Mirzapour; Hosseinzadeh, Mahshid; Mehranfard, Nasrin; Khodagholi, Fariba; Janahmadi, Mahyar; Motamedi, Fereshteh
    • Citation: European Journal of Pharmacology, DOI: 10.1016/j.ejphar.2016.11.032

 

  • Epilepsy-associated alterations in hippocampal excitability
    • Year: 2017
    • Authors: Navidhamidi, Mojdeh; Ghasemi, Maedeh; Mehranfard, Nasrin
    • Citation: Reviews in the Neurosciences, DOI: 10.1515/revneuro-2016-0059

 

  • Calcium channel blockade attenuates abnormal synaptic transmission in the dentate gyrus elicited by entorhinal amyloidopathy
    • Year: 2016
    • Authors: Pourbadie, Hamid Gholami; Naderi, Nima; Janahmadi, Mahyar; Mehranfard, Nasrin; Motamedi, Fereshteh
    • Citation: Synapse, DOI: 10.1002/syn.21915

 

  • Vagal nerve stimulation for refractory epilepsy: A brief review

 

  • Chronic administration of ghrelin regulates plasma glucose and normalizes insulin levels following fasting hyperglycemia and hyperinsulinemia
    • Year: 2015
    • Authors: Goshadrou, Fatemeh; Kazerouni, Faranak; Mehranfard, Nasrin; Sadeghi, Bahman
    • Citation: General and Comparative Endocrinology, DOI: 10.1016/j.ygcen.2015.07.001

 

 

Merve Keskinkilic | Medical Oncology | Best Researcher Award

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Dr. Merve Keskinkilic | Medical Oncology | Best Researcher Award

Medical Oncologist, Izmir Democracy University Buca Seyfi Demirsoy Training and Research Hospital Turkey

Merve Keskinkılıç is a dedicated Medical Oncologist at Burdur State Hospital with a strong academic background in Internal Medicine and Medical Oncology. She earned her M.D. from Dokuz Eylul University Faculty of Medicine and completed her Medical Oncology Fellowship at the same institution. Dr. Keskinkılıç has extensive clinical experience, having served as a Research Fellow at Emory University, USA. Fluent in English (C1 Advanced) and proficient in German (Elementary), she actively participates in international oncology research. Her expertise includes clinical trials, cancer treatment strategies, and translational oncology research, contributing significantly to advancements in the field.

Publication Profile

Scopus

Scholar

🎓 Education

Dr. Keskinkılıç completed her high school education at Balıkesir Science High School (2004-2008) before pursuing medicine at Dokuz Eylul University (2008-2014). She participated in an Oncology Exchange Program at Mansoura University, Egypt (2010). She later obtained an Associate Degree in Healthcare Management from Anadolu University (2014-2017). Her residency in Internal Medicine was completed at Celal Bayar University (2015-2016) and Dokuz Eylul University (2016-2019). She pursued a Medical Oncology Fellowship at Dokuz Eylul University (2019-2024) and is currently undertaking a PhD in Basic Oncology at Dokuz Eylul University Oncology Institute (since 2022). She also worked as a Research Fellow at Emory University, USA (2023).

💼 Experience

Dr. Keskinkılıç began her career as a General Practitioner at Balıkesir Susurluk State Hospital (2014-2015) before becoming a Research Assistant in Internal Medicine at Celal Bayar University (2015-2016) and later at Dokuz Eylul University (2016-2019). She served as a Specialist Doctor at Bitlis Mutki State Hospital (2019) and as a Fellow in Medical Oncology at Dokuz Eylul University (2019-2024). Currently, she is a Medical Oncologist at Burdur Public Hospital (2024-2025) and will join Izmir Democracy University Buca Seyfi Demirsoy Training and Research Hospital in 2025.

🏆 Awards & Honors

Dr. Keskinkılıç holds several prestigious certifications, including the Turkish Board of Internal Medicine Certificate (2018), Experimental Animal Use Certificate (2019), Oncology Clinical Research Training Certificate (2020), and ESMO Board of Examination Certificate (2023). She has also completed Good Clinical Practices (ICU) and Clinical Research Training and has received certifications in Research Ethics and Clinical Trials. Her contributions to oncology research and education have been recognized through multiple national and international accolades.

🔬 Research Focus

Dr. Keskinkılıç specializes in clinical oncology research, focusing on urothelial, bladder, gastric, prostate, and lung cancers. She is actively involved in multiple clinical trials, serving as a Sub-Investigator in research projects such as THOR (Urothelial Cancer), Niagara (Bladder Cancer), MK3475-859 (Gastric Cancer), Regeneron (Non-Small Cell Lung Cancer), and Radiant 20510 (Prostate Cancer). Her work emphasizes innovative treatment strategies, immunotherapy, and targeted cancer therapies, contributing to the development of advanced oncological treatments. Her internal medicine dissertation evaluated CMV DNA Antigenemia in Allogeneic Bone Marrow Transplant Patients.

Publication Top Notes

  • Efficacy of subsequent treatments in patients with hormone-positive advanced breast cancer who had disease progression under CDK 4/6 inhibitor therapy
    • Authors: C. Karacin, B. Oksuzoglu, A. Demirci, M. Keskinkılıç, et al.
    • Journal: BMC Cancer, 2023
    • Citations: 20

 

  • Treatment efficacy of ribociclib or palbociclib plus letrozole in hormone receptor-positive/HER2-negative metastatic breast cancer
    • Authors: S. Kahraman, E. Erul, M. Seyyar, O. Gumusay, et al.
    • Journal: Future Oncology, 2023
    • Citations: 13

 

  • Clinical outcomes of cyclin-dependent kinase 4–6 (CDK 4–6) inhibitors in patients with male breast cancer: a multicenter study
    • Authors: H. Ç. Yıldırım, E. Mutlu, E. Chalabiyev, M. Özen, et al.
    • Journal: The Breast, 2022
    • Citations: 13

 

  • The effect of low HER2 expression on treatment outcomes in metastatic hormone receptor-positive breast cancer patients treated with a combination of a CDK4/6 inhibitor and…
    • Authors: E. C. Yildirim, E. Atag, E. Coban, et al.
    • Journal: The Breast, 2023
    • Citations: 12

 

  • Efficacy of first-line CDK 4-6 inhibitors in premenopausal patients with metastatic breast cancer and the effect of dose reduction due to treatment-related neutropenia
    • Authors: H. C. Yildirim, C. Kapar, B. Koksal, et al.
    • Journal: Journal of Chemotherapy, 2024
    • Citations: 4

 

  • The prognostic indicator in breast cancer treated with CDK4/6 inhibitors: the prognostic nutritional index
    • Authors: M. Keskinkilic, H. S. Semiz, G. Polat, et al.
    • Journal: Future Oncology, 2023
    • Citations: 4

 

  • Antibody-Drug Conjugates in Triple Negative Breast Cancer
    • Authors: M. Keskinkilic, R. Sacks
    • Journal: Clinical Breast Cancer, 2024
    • Citations: 3

 

  • 194P Increased blood creatinine level due to CDK 4/6 inhibitor treatments: single center experience
    • Authors: M. Keskinkılıç, H. S. Semiz, T. Yavuzsen, A. Karaoglu
    • Journal: Annals of Oncology, 2022
    • Citations: 3

 

  • The prognostic nutritional index (PNI): A new biomarker for determining prognosis in metastatic castration-sensitive prostate carcinoma
    • Authors: H. I. Ellez, M. Keskinkilic, et al.
    • Journal: Journal of Clinical Medicine, 2023
    • Citations: 11

 

  • The role of immune checkpoint inhibition in triple-negative breast cancer
    • Authors: K. Tarekegn, M. Keskinkilic, T. J. Kristoff, S. T. Evans, K. Kalinsky
    • Journal: Expert Review of Anticancer Therapy, 2023
    • Citations: 10

 

  • The percentage of ALK-positive cells and the efficacy of first-line alectinib in advanced non-small cell lung cancer
    • Authors: M. Hizal, B. Bilgin, N. Paksoy, et al.
    • Journal: Journal of Cancer Research and Clinical Oncology, 2023
    • Citations: 5

 

  • CD47 (‘don’t eat me’ signal) expression levels and its relationship with clinicopathologic features in early‐stage prostate carcinoma
    • Authors: H. S. Semiz, Ü. Küçük, E. Kısa, M. Keskinkılıç, et al.
    • Journal: The Prostate, 2022
    • Citations: 5

 

  • A severe case of levothyroxine intoxication successfully treated in intensive care unit
    • Authors: Y. Savran, T. Mengi, M. Keskinkilic
    • Journal: Journal of Acute Disease, 2018
    • Citations: 11

 

 

Vaishnavee Rathod | Analysis | Best Researcher Award

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Ms. Vaishnavee Rathod | Analysis | Best Researcher Award

Research Scholar, Department of Computer Science Engineering SVNIT SURAT INDIA India

Vaishnavee Vijay Rathod is a Ph.D. candidate at SVNIT Surat, focusing on remote sensing and deep learning. She has earned her B.E., M.Tech., and is currently pursuing her Ph.D., with a specialized focus on satellite imaging, machine learning, and image processing. Vaishnavee has published multiple papers in renowned journals and conferences, contributing significantly to the fields of medical image analysis, remote sensing, and AI-based systems. She has also received recognition for her work, including the Best Paper Award at an international conference in 2020. Her innovative research on vehicle detection using computer vision and AI has gained attention in smart city development.

 

Publication Profile

Scopus Scholar

🎓 Education

Vaishnavee completed her B.E. in Electronics and Telecommunication in 2018 from Thakur College of Engineering and her M.Tech. in Electronics and Digital Image Processing from GHRIET Nagpur in 2020. She is currently pursuing a Ph.D. in Satellite Imaging and Deep Learning at SVNIT Surat, specializing in deep learning-driven satellite image classification. Throughout her academic journey, she has achieved distinction and published several research papers in prominent conferences and journals.

💼 Experience

Vaishnavee has significant experience as a research scholar in deep learning and image processing. Her Ph.D. research includes the development of models for satellite image analysis and AI-based vehicle detection systems using UAV data. She has contributed to over 10 publications, including SCI-indexed journals and prestigious conferences. Additionally, Vaishnavee has been a recipient of several project funding awards, including SSIP 2.0 funding for her “RoadMitra” AI-based system project, showcasing her expertise in smart city technologies.

🏆 Awards & Honors

Vaishnavee has been recognized for her research contributions, including the “Best Paper Award” at the International Conference on Engineering Systems Design and Optimization in 2020. She has received various honors, including funding under SSIP 2.0 for her smart city project “RoadMitra,” aimed at detecting road issues using UAVs. Additionally, she has won awards for her research excellence and has received numerous accolades for her participation in international conferences and workshops.

🔬 Research Focus

Vaishnavee’s research focuses on the intersection of satellite imaging, remote sensing, and deep learning. She works on developing deep learning models for efficient satellite image classification and vehicle detection systems using UAV technology. Her work also extends to image enhancement, biomedical image processing, and AI applications in smart city infrastructure. Vaishnavee’s research contributes to the development of innovative solutions for urban challenges, including road crack detection, traffic analysis, and the enhancement of healthcare technologies using AI.

Publication Top Notes

  • Title: Deep learning-driven UAV vision for automated road crack detection and classification
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Journal: Nondestructive Testing and Evaluation (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: Road Crack Detection and Classification Using UAV and Deep Transfer Learning Optimization
    • Authors: Rathod, V., Rana, D., Mehta, R.
    • Journal: Journal of the Indian Society of Remote Sensing (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: A computer vision approach to vehicle detection, classification, and tracking from UAV data for Indian traffic analysis
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G., Nath, V.
    • Journal: IETE Journal of Research (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: An Extensive Review of Deep Learning Driven Remote Sensing Image Classification Models
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Conference: Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT 2022)
    • Citations: 4

 

Digambar Kavitake | Food Science | Best Researcher Award

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Dr. Digambar Kavitake | Food Science | Best Researcher Award

Senior Scientist, Arjuna Naturals Pvt Ltd, India

Dr. Digambar Kavitake is a Senior Scientist at Arjuna Natural Pvt Ltd, working at ICMR-NIN in the Biochemistry Division under Dr. G. Bhanuprakash Reddy. He holds a Ph.D. in Food Science and Technology from Pondicherry University. His research focuses on Food Biotechnology, Food Microbiology, and Fermented Foods. Notable recognitions include the AMI-Young Scientist Award (2023), SERB-National Post-doctoral Fellowship, and multiple Best Poster Awards. Dr. Kavitake has been awarded various scholarships, including UGC-RGNF and ICAR-SRF. He is a member of several prestigious scientific societies like AFSTI, ASM, and AMI. 🧪🥼🍞🌾

 

Publication Profile

Google Scholar

Educational Qualifications

Dr. Digambar Kavitake holds a Ph.D. in Food Science and Technology from Pondicherry University (2021), with a thesis on the functional characterization of galactan exopolysaccharide from Weissella confusa. He completed his M.Sc. in Food Science and Technology (2015) with a remarkable CGPA of 9.43/10, specializing in areas like food chemistry, microbiology, and fermentation technology. He also holds a Post Graduate Diploma in Biotechnology (2015) and a B.Sc. in Biotechnology from Savitribai Phule Pune University (2013). His academic journey is backed by a strong foundation in food science, biotechnology, and related fields. 📚🍽️🌱

Research and Employment Experiences

Dr. Digambar Kavitake is currently serving as a Senior Scientist at Arjuna Naturals Pvt Ltd. at the National Institute of Nutrition, Hyderabad, from March to August 2024. He previously worked as a SERB-National Post-Doctoral Fellow at ICMR-NIN, focusing on microbiome analysis and the prebiotic potential of wheat bran fiber (2022-2024). Additionally, he served as a Research Associate at Pondicherry University, working on glucan exopolysaccharide’s prebiotic and anti-obesity properties (2021-2022). His early career includes roles as a Technical Assistant at FCI (2016) and a Project Assistant at Pondicherry University (2015-2016). 🧑‍🔬🌾

Professional Recognitions, Awards, and Fellowships

Dr. Digambar Kavitake has earned numerous accolades throughout his career. In 2023, he received the prestigious AMI-Young Scientist Award for his outstanding contributions to Dairy and Food Microbiology. He was also honored with Best Poster Awards at notable conferences, including the SET-FEST 2023 and the 7th Bioprocessing India Conference in 2019. Dr. Kavitake was awarded the SERB-National Post-Doctoral Fellowship (2022-2024) at ICMR-NIN. Other recognitions include the CSIR NET and UGC Junior Research Fellowships, UGC-Rajiv Gandhi National Fellowship in Food Microbiology, Pondicherry University Gold Medal, and the ICAR-SRF Award in Agricultural Biotechnology. 🏅🌾

Research Focus

Dr. Digambar Kavitake’s research primarily revolves around food science, specifically food microbiology and biotechnology. His work focuses on the characterization and application of exopolysaccharides (EPS) produced by lactic acid bacteria, particularly Weissella confusa, in fermented foods. Key areas of his research include the prebiotic and antioxidant properties of bacterial EPS, their role in improving the technological, functional, and rheological properties of fermented products like yogurt, and their potential health benefits. He also explores the use of these biopolymers in food safety, emulsification, and oxidative stress alleviation, with applications in probiotics, food processing, and biotechnology. 🧬🍴

Publication Top Notes

  • Recent developments on encapsulation of lactic acid bacteria as potential starter culture in fermented foods–A review
    Cited by: 200
    Year: 2018
  • Synthesis of silver nanoparticles using bacterial exopolysaccharide and its application for degradation of azo-dyes
    Cited by: 199
    Year: 2017
  • Characterization of a novel galactan produced by Weissella confusa KR780676 from an acidic fermented food
    Cited by: 144
    Year: 2016
  • Bacterial exopolysaccharides for improvement of technological, functional and rheological properties of yoghurt
    Cited by: 109
    Year: 2021
  • Probiotic characterization and antioxidant properties of Weissella confusa KR780676, isolated from an Indian fermented food
    Cited by: 107
    Year: 2018
  • Overview of exopolysaccharides produced by Weissella genus–A review
    Cited by: 80
    Year: 2020
  • Lactic Acid Bacteria and Yeasts as Starter Cultures for Fermented Foods and Their Role in Commercialization of Fermented Foods
    Cited by: 59
    Year: 2018
  • Physico-chemical characterization of galactan exopolysaccharide produced by Weissella confusa KR780676
    Cited by: 57
    Year: 2016
  • Prebiotic potential of water extractable polysaccharide from red kidney bean (Phaseolus vulgaris L.)
    Cited by: 51
    Year: 2019
  • Preferential growth stimulation of probiotic bacteria by galactan exopolysaccharide from Weissella confusa KR780676
    Cited by: 37
    Year: 2021
Conclusion

Dr. Digambar Kavitake exemplifies the qualities sought in the Best Researcher Award. His work in the areas of food biotechnology and fermentation has far-reaching implications for health and food industry advancements, making him an excellent choice for this honor.

 

Rayk Fritzsche | Engineering | Best Scholar Award

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Dr. Rayk Fritzsche | Engineering | Best Scholar Award

Gruppenleiter at Fraunhofer IWU, Germany

Dr.-Ing. Rayk Fritzsche is a distinguished researcher and group leader at Fraunhofer IWU, specializing in adaptable assembly systems and intelligent manufacturing. With a Dr.-Ing. (magna cum laude) from TU Dresden, he has made significant contributions to automation, AI-driven assembly, and car body manufacturing. His six patents and numerous peer-reviewed publications in CIRP, IEEE, and Automatica highlight his innovative work in industrial automation. Dr. Fritzsche’s research integrates artificial intelligence, robotics, and software-assisted design, making impactful advancements in automotive, aerospace, and fuel cell production. His Best Paper Award at CIRP ICME 2022 underscores his excellence in academic contributions. Beyond research, his leadership at Fraunhofer IWU and collaborations with industry leaders drive innovation in smart manufacturing. To further enhance his global recognition, expanding interdisciplinary projects and academic mentorship could elevate his influence in the field. His expertise and contributions make him a strong candidate for the Best Scholar Award.

Professional Profile

Education

Dr. Rayk Fritzsche’s educational journey reflects a blend of athletic excellence and academic rigor. He graduated from the Sportgymnasium Chemnitz with an Abitur in 1996, after years of pursuing speed skating at a competitive level. Following this, he transitioned into mechanical engineering, earning a Dipl.-Ing. degree from TU Chemnitz in 2009, specializing in construction and drive technology. His academic path was marked by internships and practical experiences, including at BMW and IAV GmbH, where he gained hands-on exposure to quality management and powertrain development. Dr. Fritzsche’s commitment to further education led him to pursue a doctoral degree at TU Dresden, where he successfully completed his dissertation in 2022 with the distinction magna cum laude. His thesis focused on adaptable assembly systems, solidifying his expertise in advanced manufacturing technologies and positioning him as a leader in the field of intelligent production systems.

Professional Experience

Dr. Rayk Fritzsche has had a distinguished career at Fraunhofer IWU, where he has held several key positions since 2009. After starting as an assistant scientist in 2009, he quickly advanced to become a research associate and later a group leader in the Assembly Systems Department, focusing on body construction and assembly. By 2018, he was appointed deputy head of the department, leading research in adaptable assembly systems. Dr. Fritzsche’s leadership culminated in his current role as group leader in charge of adaptable assembly systems at Fraunhofer IWU. His professional experience is complemented by valuable internships and roles at BMW Leipzig and IAV GmbH, where he focused on quality management and powertrain development. Throughout his career, Dr. Fritzsche has consistently contributed to cutting-edge research and technological advancements in intelligent manufacturing, automation, and AI-driven assembly systems, influencing both industry and academia.

Research Interest

Dr. Rayk Fritzsche’s research interests focus on advancing intelligent manufacturing and automation technologies with a particular emphasis on adaptable assembly systems. He is deeply engaged in the integration of artificial intelligence and robotics into industrial production, aiming to enhance flexibility, efficiency, and precision in assembly processes. His work addresses key challenges in automated fixture design, utilizing software-supported systems for positioning and clamping in car body manufacturing. Additionally, Dr. Fritzsche explores the use of mathematical algorithms and geometry-based search methods to optimize production workflows and reduce resource consumption. His research also extends to advanced AI applications, including machine learning for optimizing assembly system configurations and leveraging virtual reality and augmented reality for real-time process improvements. Dr. Fritzsche’s interests span across high-rate production, fuel cell manufacturing, and bio-inspired design, positioning him at the forefront of innovation in smart and sustainable manufacturing.

Award and Honor

Dr. Rayk Fritzsche has received several notable awards and honors in recognition of his groundbreaking contributions to intelligent manufacturing and automation. One of his most distinguished accolades is the Best Paper Award in 2022 at the CIRP ICME Conference, for his innovative work on software-assisted clamping point classification and position optimization for flexible car body fixtures. This recognition highlights his excellence in applying mathematical geometry-based algorithms to optimize production processes. In addition to this prestigious award, Dr. Fritzsche holds multiple patents for his inventions in automated fixture systems and adaptable assembly technologies, underscoring his impact on the industrial sector. His extensive contributions to both academic and practical advancements in automation, robotics, and AI in manufacturing have earned him recognition as a leader in his field. Dr. Fritzsche’s work continues to influence manufacturing practices, ensuring his place among top researchers in industrial engineering.

Conclusion

Dr. Rayk Fritzsche is highly suitable for the Best Scholar Award due to his strong research output, patents, industry impact, and academic excellence. His contributions to intelligent manufacturing, automation, and AI-driven assembly systems place him among top scholars in his field. While already highly accomplished, expanding international collaboration and interdisciplinary research could further enhance his scholarly profile.

Publications Top Noted

  • Title: Computer-based design and development of a fully automated assembly of aircraft doors made of thermoplastic composite material
    Authors: Fritzsche, R., Jäger, E.
    Year: 2024
    Citations: 0
  • Title: Development of a suction gripper network based on the biological role model of an octopus
    Authors: Fritzsche, R., Kunze, H., Jäger, E.
    Year: 2024
    Citations: 0
  • Title: Autonomous assembly and disassembly by cognition using hybrid assembly cells
    Authors: Frieß, U., Oberfichtner, L., Hellmich, A., Fritzsche, R., Ihlenfeldt, S.
    Year: 2023
    Citations: 0
  • Title: Software support for the development of flexible plant technology in highly automated and high-rate body-in-white production
    Authors: Fritzsche, R., Ahrens, A.
    Year: 2023
    Citations: 0
  • Title: Autonomous assembly and disassembly – Key technologies and links for the adaptive self-optimization of future circular production
    Authors: Ihlenfeldt, S., Lorenz, M., Frieß, U., Fritzsche, R.
    Year: 2023
    Citations: 0
  • Title: Automated gripper design | DesignAssistant – multikriterielle optimierte Konstruktion mit digitalen Baukästen Automatisierter Greiferentwurf
    Authors: Ahrens, A., Oberfichtner, L., Richter-Trummer, V., Frieß, U., Ihlenfeldt, S.
    Year: 2022
    Citations: 0
  • Title: Solving a multi-dimensional matching problem for grouping clamping points on car body parts
    Authors: Oberfichtner, L., Ahrens, A., Fritzsche, R., Richter-Trummer, V., Todtermuschke, M.
    Year: 2022
    Citations: 3
  • Title: Software assisted clamping point classification and position optimization for the efficient flexibilization of carbody fixtures using mathematical geometry-based search algorithms
    Authors: Fritzsche, R., Schaffrath, R., Todtermuschke, M.
    Year: 2021
    Citations: 4
  • Title: Automated design of product-flexible car body fixtures with software-supported part alignment using particle swarm optimization
    Authors: Fritzsche, R., Voigt, E., Schaffrath, R., Todtermuschke, M., Röber, M.
    Year: 2020
    Citations: 9
  • Title: Hololens AR-using vuforia-based marker tracking together with text recognition in an assembly scenario
    Authors: Knopp, S., Klimant, P., Schaffrath, R., Fritzsche, R., Allmacher, C.
    Year: 2019
    Citations: 11

 

Syed Luqman Ali | Drug Design | Best Researcher Award

Published on by Young Scientists Awards

Mr. Syed Luqman Ali | Drug Design | Best Researcher Award

Researcher, Abdul Wali Khan University Mardan KPK Pakistan, Pakistan

Mr. Syed Luqman Ali is an enthusiastic researcher specializing in bioinformatics, computational biology, vaccine design, cancer, and drug development. Currently pursuing an MPhil in Biochemistry at Abdul Wali Khan University Mardan (2025), he has published extensively on vaccine and drug design using advanced computational techniques like RNA-seq, molecular docking, and simulation. Mr. Ali is a skilled reviewer for several high-impact journals and a lecturer at Metanoia College of Nursing. With expertise in bioinformatics tools and programming languages, he is committed to advancing scientific knowledge in vaccine and drug research.

Publication Profile

Google scholar

Education

Mr. Syed Luqman Ali is currently pursuing his MPhil in Biochemistry at Abdul Wali Khan University Mardan, Pakistan, with an expected graduation in 2025. He completed his Bachelor’s degree in Biochemistry from the same institution in 2022, laying the foundation for his research career. Additionally, he holds a Diploma in Digital Information Technology from the Board of Technical Education Peshawar, Pakistan, earned in 2021. This diverse educational background has equipped him with a strong interdisciplinary skill set, combining biochemistry, digital technology, and computational biology for cutting-edge research.

Research Experience

Mr. Syed Luqman Ali has been an Experimental and Computational Researcher at Abdul Wali Khan University Mardan since 2019. His research focuses on vaccine and drug design, utilizing advanced computational techniques like RNA-seq analysis, molecular docking, and simulation. With extensive experience in leading bioinformatics databases such as KEGG, MetaCyc, and HADDOCK, Mr. Ali is proficient in tools like SnapGene, Cytoscape, and DAVID. His work contributes to the development of innovative vaccines and drug therapies, advancing scientific knowledge in bioinformatics and computational biology.

Technical Certifications

Mr. Syed Luqman Ali has acquired several technical certifications that complement his research expertise. He completed a Data Analysis with R program through Mindluster, enhancing his data analysis skills. Additionally, he has obtained certifications in Data Analysis with Python and Linux from Udemy, further strengthening his computational abilities. Mr. Ali also completed a Content Writing course through the DigiSkills Training Program from Virtual University, Lahore, improving his communication and writing skills for scientific documentation. These certifications underscore his commitment to continuous learning and professional development in bioinformatics and computational biology.

Awards and Achievements

Mr. Syed Luqman Ali has made significant contributions to the scientific community, with multiple publications in high-impact journals, showcasing his research prowess in bioinformatics and computational biology. His work has been recognized by peers and researchers worldwide. Additionally, Mr. Ali serves as a reviewer for several reputed scientific journals, contributing his expertise to the advancement of research. These achievements reflect his dedication to scientific excellence and his active role in shaping future advancements in his field. 📚🖋️🔬

Research Focus

Mr. Syed Luqman Ali’s research spans multiple bioinformatics and computational biology domains, particularly in vaccine and drug design, cancer immunology, and genomics. His work includes multi-epitope vaccine development using immunoinformatics and reverse vaccinology approaches, along with genomic annotation for vaccine target identification. He has contributed significantly to disease diagnostics and drug discovery, especially in areas like tuberculosis, SARS-CoV-2, Leishmania, and autoimmune disorders. His expertise also extends to advanced data analysis, molecular docking, and RNA-seq analysis, employing tools like KEGG, MetaCyc, and HADDOCK. 🧬💻💉

Publication Top Notes

  • Mutational screening of GDAP1 in dysphonia associated with Charcot-Marie-Tooth disease: clinical insights and phenotypic effects
    Cited by: 20
    Year: 2023
  • Vaccinomics-based next-generation multi-epitope chimeric vaccine models prediction against Leishmania tropica – a hierarchical subtractive proteomics and …
    Cited by: 15
    Year: 2023
  • Genomic annotation for vaccine target identification and immunoinformatics-guided multi-epitope-based vaccine design against Songling virus through screening its whole genome …
    Cited by: 12
    Year: 2023
  • Currently trending and futuristic biological modalities in the management of different types of diabetes: A comprehensive review
    Cited by: 9
    Year: 2023
  • Analysis of the capability of IgG antibodies and receptors with their relationships to food tolerance and autoimmune disorders
    Cited by: 6
    Year: 2023
  • Illuminating the Frontier of Drug Discovery: Unleashing the Power of Bioinformatics for Unprecedented Breakthroughs
    Cited by: 4
    Year: 2023
  • Leveraging computer-aided design and artificial intelligence to develop a next-generation multi-epitope tuberculosis vaccine candidate
    Cited by: 1
    Year: 2024
  • Genetic identification and determination of parasites (Babesia, Leptospira and Toxoplasma Gondi) in wild rats
    Cited by: 1
    Year: 2024
  • Placental histology for targeted risk assessment of recurrent spontaneous preterm birth
    Cited by: 1
    Year: 2024
  • Harnessing bioinformatics for the development of a promising multi-epitope vaccine against tuberculosis: The ZL9810L vaccine
    Cited by: 1
    Year: 2024
  • Promising vaccine models against astrovirus MLB2 using integrated vaccinomics and immunoinformatics approaches
    Cited by: 1
    Year: 2024
  • Multi-epitope-based vaccine models prioritization against Astrovirus MLB1 using immunoinformatics and reverse vaccinology approaches
    Cited by: 1
    Year: 2025
  • Exploring advanced genomic and immunoinformatics techniques for identifying drug and vaccine targets against SARS-CoV-2
    Cited by: 1
    Year: 2024
  • A Comprehensive Methodological Review of Major Developments in Bioinformatics Pipelines for Transcriptomic Data Analysis
    Cited by: –
    Year: 2024
Conclusion

Mr. Ali’s solid academic background, innovative research contributions, advanced technical skills, and role as a mentor, he is undoubtedly a strong candidate for the Research for Best Researcher Award. His work in bioinformatics, drug design, vaccine development, and cancer research showcases his dedication to advancing scientific knowledge and making a global impact.