Syed Ayaz Ali Abid Ali – PHARMACOLOGY – Best Researcher Award

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Syed Ayaz Ali Abid Ali - PHARMACOLOGY - Best Researcher Award

Y B CHAVAN COLLEGE OF PHARMACY - INDIA

AUTHOR PROFILE

GOOGLE SCHOLAR

EMPLOYMENT AND PROFESSIONAL EXPERIENCE

Syed Ayaz Ali Abid Ali is currently serving as an Associate Professor of Pharmacology at Y. B. Chavan College of Pharmacy, Aurangabad, a position he has held since January 2010. Prior to this, he served in the same capacity on an ad hoc basis from February 2008 to January 2010. His earlier roles include Assistant Professor and Incharge Principal at Royal College of Pharmaceutical Education and Research, Sayne, Malegaon, and as a Research Scientist at Ranbaxy Research Laboratories Ltd, Gurgaon from May 2005 to March 2007. He also contributed as a Lecturer at Hamdard University, New Delhi, from August 2001 to July 2004.

SUBJECTS TAUGHT

His academic contributions span a range of subjects in both undergraduate and postgraduate programs. At the undergraduate level, he has taught Anatomy, Physiology & Health Education, Pharmacology & Toxicology, Pharmacology and Bioassay, Clinical Pharmacy & Therapeutics, and Pharmacy Practice. For postgraduate students, he has covered Advanced Pharmacology, Methods in Pharmacology, Nanotechnology & Biotechnology.

ADMINISTRATIVE RESPONSIBILITIES

Dr. Ali has taken on numerous administrative roles throughout his career, including Member Secretary of the Institutional Animal Ethics Committee (IAEC), Academic Incharge, Admission Incharge, Animal House In-Charge, Head of Department, and various committee memberships such as the Discipline Committee and Women’s Grievances Committee. His contributions extend to serving on the Library Committee and undertaking responsibilities as a university assignment setter, examiner, moderator, and Center Superintendent for examinations.

UNIVERSITY ASSIGNMENTS  

He has actively participated in university assignments, including serving as a Paper Setter, Expert for staff selection, PG teacher recognition, Ph.D. guide, and member of syllabus framing committees. He has chaired and participated in local inspection committees, vigilance squads, and acted as a Ph.D. thesis evaluator for Savitribai Phule Pune University. His expertise has also been recognized through nominations as a subject expert by various universities for staff selection processes.

EDUCATIONAL QUALIFICATIONS

Dr. Ali holds a Ph.D. in Pharmacology from Hamdard University, New Delhi, awarded in January 2005. He completed his M. Pharm. in Pharmacology from the same institution in November 2000 and earned his B. Pharm. from Dr. BAMU, Aurangabad, in June 1997. His secondary education includes achieving first-class distinctions in HSC Science from Aurangabad Board in June 1993 and SSC in June 1991.

RESEARCH GUIDANCE AND ACHIEVEMENTS

He has been actively involved in guiding students, having supervised 38 M. Pharm. theses and currently guiding 7 Ph.D. students at Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. Dr. Ali has secured research grants, including a Seminar grant from the Indian Council for Medical Research (ICMR) in February 2012. He has also filed several patents, including innovations in drug delivery systems, cancer management formulations, and medical device designs.

PROFESSIONAL DEVELOPMENT AND RECOGNITION

Throughout his career, Dr. Ali has pursued continuous professional development through seminars, workshops, and research collaborations. His contributions to pharmaceutical research and education have been pivotal, marked by his publications and patents that contribute significantly to the field's advancement.

NOTABLE PUBLICATION

  • Neuroprotective effect of Feronia limonia on ischemia reperfusion induced brain injury in rats
    • Authors: PB Rakhunde, S Saher, SA Ali
    • Year: 2014
  • Influence of DL α-lipoic acid and vitamin-E against doxorubicin-induced biochemical and histological changes in the cardiac tissue of rats
    • Authors: SA Ayaz, U Bhandari, KK Pillai
    • Year: 2005
  • PH triggered sol-gel transition system of ofloxacin for prolonged gastric retention
    • Authors: SR Lahoti, RK Shinde, SA Ali, B Gulecha
    • Year: 2011
  • Cardioprotective and Antioxidant activity of Onion (Allium cepa) Leaves Extract in Doxorubicin Induced Cardiotoxicity in Rats
    • Authors: QN Nausheen, SA Ali, K Subur
    • Year: 2014
  • A Review: Zam Zam a miracle water
    • Authors: AVD Ahmad, SA Ali, T Sheikh, S Choas, R Bagwan
    • Year: 2018

Jamin Rahman Jim – Generative AI – Young Scientist Award

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Jamin Rahman Jim - Generative AI - Young Scientist Award

Advanced Machine Intelligence Research Lab - Bangladesh

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Jamin Rahman Jim's academic journey commenced with a Bachelor of Science degree in Computer Science and Engineering, with a major in Information Systems, from the American International University-Bangladesh. His exceptional academic performance, evidenced by a final grade of 3.96/4.00, was complemented by a thesis focusing on assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks.

PROFESSIONAL ENDEAVORS

Jamin Rahman Jim has established himself as a dedicated researcher in the field of artificial intelligence and machine learning. His roles as a Research Assistant at Deepchain Labs and subsequently as a Researcher at the Advanced Machine Intelligence Research Lab (AMIR Lab) reflect his commitment to advancing knowledge and contributing to cutting-edge research projects.

CONTRIBUTIONS AND RESEARCH FOCUS

With a focus on artificial intelligence and machine learning, Jamin Rahman Jim has made significant contributions to the field through his publications and projects. His research spans various domains, including the trustworthy metaverse, NLP-based sentiment analysis, deep learning for medical image segmentation, and user authentication and authorization in cybersecurity. Through preprints and published articles, he continues to explore innovative approaches and address challenges in the application of machine learning techniques.

IMPACT AND INFLUENCE

Jamin Rahman Jim's research has garnered attention within the academic community and beyond, as evidenced by his publications in reputable journals and his receipt of prestigious awards and grants. His work on generative AI in medical imaging, fusion-enhanced terrain detection, and explainable AI approaches has the potential to influence the development of AI systems in various domains, including healthcare, autonomous vehicles, and cybersecurity.

ACADEMIC CITES

Jamin Rahman Jim's publications in journals such as IEEE Access, Natural Language Processing Journal, and Computers and Electrical Engineering have been cited by fellow researchers, indicating the relevance and impact of his work. His research on generative AI in medical imaging, personalized federated learning algorithms, and lightweight human activity recognition frameworks has contributed to advancing knowledge in the field of artificial intelligence.

LEGACY AND FUTURE CONTRIBUTIONS

As Jamin Rahman Jim continues his academic and professional journey, his legacy lies in his dedication to advancing the field of artificial intelligence and machine learning. Through his ongoing research projects, publications, and collaborations, he aims to address critical challenges and contribute to the development of innovative AI solutions. His focus on generative AI in medical imaging underscores his commitment to leveraging AI for improved healthcare outcomes and societal impact.

NOTABLE PUBLICATION

Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review 2024

Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications and Challenges 2024

Toward Trustworthy Metaverse: Advancements and Challenges 2023 (4)

Mattias Simons – Nuclear Decomissioning – Best Researcher Award

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Mattias Simons - Nuclear Decomissioning - Best Researcher Award

Hasselt University - Belgium

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Mattias Simons began his academic journey at Hasselt University, where he pursued a Bachelor of Science in Engineering, specializing in Nuclear Technology, from 2016 to 2019. His early academic pursuits laid the groundwork for his future endeavors in nuclear technology and radiation detection.

PROFESSIONAL ENDEAVORS

As a dedicated Ph.D. researcher at the Research Foundation Flanders – Hasselt University since 2020, Mattias Simons has been actively involved in advancing nuclear decomissioning processes. His work involves developing innovative measurement setups using various detectors, such as Lidar and Compton camera technology, to enhance the visualization and localization of hotspots within decommissioning environments.

CONTRIBUTIONS AND RESEARCH FOCUS

Mattias Simons' research primarily focuses on nuclear decomissioning, with a specialization in radiation detection and measurement automation. His contributions include the development of novel measurement setups and the analysis of complex datasets to improve efficiency and safety in nuclear facility dismantlement.

IMPACT AND INFLUENCE

Through his research efforts, Mattias Simons has made a significant impact on the field of nuclear decomissioning. His work has the potential to revolutionize current practices by introducing advanced measurement techniques and automation technologies, thereby enhancing the overall safety and effectiveness of decommissioning processes.

ACADEMIC CITES

Mattias Simons' research findings have been widely cited in academic literature, underscoring the relevance and significance of his contributions to the field of nuclear technology and radiation detection. His work serves as a valuable resource for researchers, practitioners, and policymakers involved in nuclear decomissioning efforts.

LEGACY AND FUTURE CONTRIBUTIONS

As Mattias Simons continues his research endeavors, his legacy in the field of nuclear decomissioning is characterized by his dedication to innovation and excellence. His future contributions hold promise for further advancements in measurement automation, radiation detection, and safety protocols, shaping the future of nuclear decomissioning practices.

NOTABLE PUBLICATION

Towards a Semi-Autonomous Robot Platform for the Characterisation of Radiological Environments  2022 (2)

Minimal Detection Time for Localization of Radioactive Hot Spots in Low and Elevated Background Environments Using a CZT Gamma-Ray Spectrometer 2022 (1)

Learning Multiple Radiation Source Distribution Models using Gaussian Processes  2023