Nirav Bhatt | Analysis | Best Researcher Award

Dr. Nirav Bhatt | Analysis | Best Researcher Award

Associate Professor at CHARUSAT, India

Dr. Nirav H. Bhatt is an accomplished academic and researcher with a Ph.D. in AI/ML from CHARUSAT. He has over 15 years of experience in teaching, mentoring, and research. Dr. Bhatt has guided more than 50 students, both at the Master’s and Bachelor’s levels, and is recognized as a top-performing mentor by NPTEL. His research, which focuses on low-latency processing and data analytics, has been presented at prestigious international conferences and published in renowned journals. He has also conducted expert talks and seminars on big data and database systems at multiple institutions. Dr. Bhatt has received numerous awards, including recognition from AICTE and Texas Instruments, and has played a pivotal role in promoting NPTEL courses in regional languages. With technical expertise in machine learning, cloud computing, and data science, he continues to contribute significantly to both academia and industry.

Professional Profile 

Education

Dr. Nirav H. Bhatt has a strong academic foundation with a Ph.D. in AI/ML from CHARUSAT, completed in 2022. Prior to his doctorate, he earned a Master’s degree in Computer Engineering (M.E.C.E.) from DDU in 2009 with a score of 66.33%, and a Bachelor’s degree in Information Technology (B.E.I.T.) from Gujarat University in 2006, where he scored 63.76%. He also holds a Diploma in Information Technology (D.I.T.) from TEB, which he completed in 2003 with an impressive score of 71.62%. His academic journey reflects a consistent dedication to computer science and technology. Dr. Bhatt’s doctoral thesis focused on a novel approach for low-latency processing in stream data, further contributing to the field of AI and machine learning. His educational achievements are complemented by certifications such as Microsoft Certified MTA in Database Fundamentals, highlighting his expertise and ongoing commitment to professional growth.

Professional Experience

Dr. Nirav H. Bhatt has over 15 years of professional experience in academia and research. Since 2008, he has been a faculty member at Charotar University of Science and Technology (CHARUSAT), where he currently serves as the Head of the Department of AI-ML and an Associate Professor. During his tenure, Dr. Bhatt has significantly contributed to the development of the AI/ML curriculum and research programs. He has also held a position as an Assistant Professor at C. U. Shah College of Engineering and Technology for a year. Dr. Bhatt has played a pivotal role as a mentor, guiding over 50 students in computer science and receiving recognition as a top-performing mentor by NPTEL. Additionally, he has conducted expert talks, seminars, and online courses in areas such as big data analytics and database systems. His experience extends to industry training with leading organizations, strengthening his practical knowledge in machine learning, cloud computing, and data science.

Research Interest

Dr. Nirav H. Bhatt’s research interests primarily lie in the fields of Artificial Intelligence (AI), Machine Learning (ML), Big Data, and Data Science. His work focuses on developing innovative solutions for low-latency processing in stream data, with an emphasis on enhancing the efficiency and scalability of data-driven systems. Dr. Bhatt’s doctoral research, which introduced a novel approach to stream data processing, has contributed significantly to advancing the understanding of real-time data analytics. His expertise also extends to cloud platforms such as Google Cloud and AWS, where he explores the integration of machine learning algorithms in cloud environments to handle large-scale data processing. Additionally, he is passionate about data visualization, the application of AI in database systems, and the development of intelligent systems for big data analytics. His research is aimed at solving practical challenges in academia and industry, particularly in optimizing data processing and machine learning models for real-world applications.

Award and Honor

Dr. Nirav H. Bhatt has received numerous awards and honors in recognition of his contributions to academia and research. Notably, he has been awarded by AICTE and Texas Instruments for fostering collaboration between government, academia, and industry, particularly through his coordination of the “TI Embedded System Design using MSP430” MOOC in 2021. Dr. Bhatt has also been recognized for his consistent excellence as a mentor, earning the title of Top Performing Mentor by NPTEL for several consecutive years (2016–2020). His leadership in Swayam-NPTEL courses has garnered multiple accolades, including recognition for his translation work in regional languages for courses such as “Fundamentals of Database Systems” and “Programming in C.” Additionally, he was awarded Best Research Paper Presentation at the SSIC-2019 International Springer Conference and received multiple certifications for his contribution to the CHARUSAT NPTEL Local Chapter, achieving AAA and AA grades over several years. These awards highlight his dedication to education and research.

Conclusion

Dr. Nirav H. Bhatt is an exceptional candidate for the Best Researcher Award. His academic achievements, extensive contributions to the field of AI and ML, as well as his mentoring roles, distinguish him as a leader in both research and education. His awards, recognition by NPTEL, and commitment to research make him a deserving nominee. However, focusing on expanding his international collaborations and enhancing the practical impact of his research could propel him to even greater heights in the academic community. Based on his accomplishments and contributions, he shows a strong potential to receive the Best Researcher Award.

Publications Top Noted

  • Smart systems and IoT: Innovations in computing
    Authors: AK Somani, RS Shekhawat, A Mundra, S Srivastava, VK Verma
    Year: 2020
    Citation: 35
  • A survey on comparative study of wireless sensor network topologies
    Authors: J Soparia, N Bhatt
    Year: 2014
    Citation: 33
  • Performance comparison of different sorting algorithms
    Authors: P Prajapati, N Bhatt, N Bhatt
    Year: 2017
    Citation: 21
  • Ranking of classifiers based on dataset characteristics using active meta learning
    Authors: N Bhatt, A Thakkar, A Ganatra, N Bhatt
    Year: 2013
    Citation: 13
  • Survey and evolution study focusing comparative analysis and future research direction in the field of recommendation system specific to collaborative filtering approach
    Authors: A Patel, A Thakkar, N Bhatt, P Prajapati
    Year: 2019
    Citation: 11
  • An efficient approach for low latency processing in stream data
    Authors: N Bhatt, A Thakkar
    Year: 2021
    Citation: 10
  • A review of soft computing techniques for time series forecasting
    Authors: A Sanghani, N Bhatt, NC Chauhan
    Year: 2016
    Citation: 10
  • Survey on Anonymization in Privacy Preserving Data Mining
    Authors: F Presswala, A Thakkar, N Bhatt
    Year: 2015
    Citation: 7
  • Experimental Analysis on Processing of Unbounded Data
    Authors: N Bhatt, A Thakkar
    Year: 2019
    Citation: 6
  • Proceedings of the international conference on ismac in computational vision and bio-engineering 2018 (ismac-cvb)
    Authors: D Pandian, X Fernando, Z Baig, F Shi
    Year: 2019
    Citation: 6
  • A survey on issues of data stream mining in classification
    Authors: R Jani, N Bhatt, C Shah
    Year: 2018
    Citation: 6
  • Deep learning: a new perspective
    Authors: N Bhatt, N Bhatt, P Prajapati
    Year: 2017
    Citation: 6
  • Algorithm selection via meta-learning and active meta-learning
    Authors: N Bhatt, A Thakkar, N Bhatt, P Prajapati
    Year: 2020
    Citation: 5
  • Query expansion for effective retrieval from microblog
    Authors: S Patel, N Bhatt, C Shah
    Year: 2017
    Citation: 5
  • A survey of information retrieval on microblog
    Authors: S Patel, N Bhatt, C Shah
    Year: 2017
    Citation: 5

Assist Prof Dr. Naglaa Ashmawy | Analytical Techniques Award | Best Researcher Award

Assist Prof Dr. Naglaa Ashmawy | Analytical Techniques Award | Best Researcher Award 

Assist Prof Dr. Naglaa Ashmawy , Gulf Medical University , United Arab Emirates

Dr. Naglaa Saad Eldin Mostafa Ashmawy is a distinguished Assistant Professor in the Pharmaceutical Sciences Department at Gulf Medical University, Ajman, UAE. With a Ph.D. in Pharmaceutical Sciences from Ain Shams University, Cairo, Egypt (2019), her research focuses on the phytochemical and biological studies of plants in the Araliaceae family. She earned her M.Sc. in Natural Products Chemistry from the same institution in 2013, with research on the genus Erythrina of the Leguminosae family.Dr. Ashmawy’s career spans both academia and industry. She currently coordinates the International Foundation Programs at Gulf Medical University and has held roles as a visiting assistant professor at Rochester Institute of Technology, Dubai, and City University College of Ajman. Her previous experience includes a post-doctoral fellowship at Sharjah Institute for Medical Research, and she served as an Assistant Professor at Ain Shams University, where she was also involved in accreditation committees.

 

Profile :

Scopus

Google Scholar

Orcid

Education

🎓 Ph.D. in Pharmaceutical Sciences, Natural Products Chemistry, Ain Shams University, Cairo (2019)
🎓 M.Sc. in Pharmaceutical Sciences, Natural Products Chemistry, Ain Shams University (2013)
🎓 B.Sc. in Pharmaceutical Sciences, Ain Shams University (2007)

Work Experience

🧑‍🏫 Assistant Professor, Gulf Medical University (Oct. 2023–Present)
🧑‍🏫 Visiting Assistant Professor, Rochester Institute of Technology-Dubai (Aug. 2021–Jun. 2023)
🧑‍🏫 Part-time Assistant Professor, Gulf Medical University (Sep. 2022–Aug. 2023)
🧑‍🏫 Visiting Assistant Professor, City University College of Ajman (Sep. 2020–Jun. 2021)
🔬 Postdoctoral Fellow, Sharjah Institute for Medical Research (Sep. 2019–Aug. 2023)
🧑‍🏫 Assistant Professor of Pharmacognosy, Ain Shams University (Dec. 2018–Aug. 2019)
🧑‍🏫 Lecturer, Ain Shams University (June 2013–Dec. 2018)
🧪 Lab Instructor, Ain Shams University (May 2008–June 2013)
💊 Pharmacist, Nilly Pharmacy, Cairo (Jan. 2008–Apr. 2008)

Teaching Experience

🔬 General and Organic Chemistry, Pharmaceutical Analysis, Biochemistry, Complementary Medicine
🧪 Organic Chemistry, Introduction to Chemical Analysis, Analytical Chemistry
🌿 Pharmacognosy, Quality Control of Herbal Products, Phytochemistry

Administrative Experience

📋 Coordinator, International Foundation Programs, Gulf Medical University
📋 Chair, College of Pharmacy Quality Assurance Committee, Gulf Medical University
📋 Committee Member for NAQAAE Accreditation, Ain Shams University

Research Skills

🔍 Microscopy, Sample Preparation, Dyeing, Imaging
🔬 HPLC, HPTLC, LC/MS
🌿 Essential Oil Extraction, GC, GC/MS
📊 Metabolomic Research, NMR, LC/MS, GC/MS
🔍 Structure Elucidation of Secondary Metabolites
💻 Software: MS Office, Mestrenova, Xcalibar, EndNote, AMDIS, Chenomx, metaboAnalyst

 

Publication Top Notes :

Flavonoids are promising safe therapy against COVID-19

Citation -151

A New Xanthone Glycoside from Mangifera indica L.: Physicochemical Properties and In Vitro Anti-Skin Aging Activities

Citation -30

A comprehensive review of the health benefits of flaxseed oil in relation to its chemical composition and comparison with other omega-3-rich oils

Citation -28

The genus Polyscias (Araliaceae): A phytochemical and biological review

Citation -25

Marine sponge is a promising natural source of anti-SARS-CoV-2 scaffold

Citation -22

Dr. Naveen Dubey | Analytical Award | Best Researcher Award

Dr. Naveen Dubey | Analytical Award | Best Researcher Award 

Dr. Naveen Dubey , Mediclin Clinical Services , India

Naveen Kumar Dubey is a distinguished pharmaceutical expert with over 22 years of experience in analytical development and bioanalytical research. Currently serving as the Vice President of CRO Operations at Mediclin Clinical Services Pvt. Ltd., Naveen oversees bioanalytical CROs and ensures adherence to GLP and GCP standards. His role involves managing operational budgets, implementing strategic plans, and coordinating with various stakeholders.

Profile :

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Education:

  • Ph.D. in Chemistry
    IGNOU, Delhi, India (2017-2020) 📚
  • M.Tech. in Modern Methods of Chemical Analysis
    IIT Delhi, India (Jul 1999 – Dec 2000) 🎓
  • M.Sc. in Organic Chemistry
    Delhi University, India (1997-1999) 🧪

Work Experience:

  • Vice President-CRO Operation
    Mediclin Clinical Services Pvt. Ltd., Lucknow, India (Jan 2023 – Present)
    🚀 Oversaw bioanalytical CROs, managed operational budget (~700,000 USD), and coordinated study deliverables.
  • Associate Director (HOD) – Bioanalytical Operation
    Jubilant Generics Ltd., Noida, India (Jun 2020 – Jan 2023)
    🧬 Managed bioanalytical operations, led a team, ensured GCLP & GDP compliance, and handled regulatory inspections.
  • Research Scientist – Clinical Pharmacology and Pharmacokinetics
    Ranbaxy Research Laboratories, Gurgaon, Haryana, India (Oct 2002 – Jan 2006)
    🔬 Conducted bioequivalence studies, developed and validated methods for drug estimation, and ensured compliance with USFDA norms.
  • Research Officer – Analytical Division
    Sun Pharma Advanced Research Centre, Akota, Baroda, Gujarat, India (Feb 2001 – Oct 2002)
    🧪 Started professional career in pharmaceutical R&D, handled various drug analyses, and managed calibration of HPLC instruments.

 

Publication top Notes :

Improved simultaneous quantitation of candesartan and hydrochlorthiazide in human plasma by UPLC–MS/MS and its application in bioequivalence studies

Citation – 29

Bioanalytical method development and validation of alimemazine in human plasma by LC-MS/MS and its application in bioequivalence studies

Citation – 10

Interconversion from N‐Desmethyl Clomipramine to Clomipramine and its impact on a bioequivalence study

Citation – 7

Ultra-performance liquid chromatography electrospray ionization–tandem mass spectrometry method for the simultaneous determination of itraconazole and hydroxy itraconazole in …

Citation – 7

A liquid chromatography tandem mass spectrometry based regulatory compliant method for the determination of tenofovir in human serum

Citation – 4