Darshika Hitesh Acharya | Data Regulation | Best Researcher Award

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Ms. Darshika Hitesh Acharya | Data Regulation | Best Researcher Award

SVKM’S Mithibai college of Arts, Chauhan Institute of Science and Amrutben Jivanlal College of Commerce and Economics | India
Darshika Hitesh Acharya is a dedicated Ph.D. research scholar specializing in plant sciences with a focus on pharmacognosy. Her academic journey reflects a strong commitment to advancing knowledge in botany, food science, and the broader field of natural sciences. She has contributed to scientific publications indexed in Scopus and Springer, showcasing her dedication to research excellence and innovative approaches to plant-based studies.

Professional Profiles

Google Scholar

Education

Darshika is pursuing her doctoral research at a reputed institution where she is advancing her expertise in botany and food science. Her academic training equips her with a strong theoretical foundation and practical research skills in plant sciences, particularly pharmacognosy. Through her education, she has developed a deep understanding of natural product research, plant-based compounds, and their applications in health and science.

Experience

As an emerging researcher, Darshika has gained valuable experience through her scholarly activities and contributions to peer-reviewed journals. Despite not having consultancy or industry projects yet, she has made her mark with quality publications in international journals. She has also actively engaged in academic research discussions, presenting her findings in forums that encourage scientific exchange. Her experience reflects her resilience and determination to contribute to the field despite the challenges faced by young researchers.

Research Interest

Darshika’s primary research interest lies in pharmacognosy, a discipline that explores the medicinal and therapeutic potential of natural products. She focuses on analyzing plant-based compounds and their role in food science and health applications. Her work integrates the study of botany, plant science, and food-related innovations, offering insights into the use of natural resources for sustainable and health-oriented solutions. By bridging these areas, her research has the potential to support advancements in nutraceuticals, functional foods, and plant-based medicine.

Award

Darshika has been nominated for the Research Data Analysis Awards under categories such as Best Researcher Award . This recognition highlights her contributions to scientific knowledge and her promise as an emerging researcher in the field of pharmacognosy and plant sciences. Her scholarly achievements, particularly her publications in reputable journals, have made her a strong contender for these awards.

Publications

  • Acharya, D., & Vaidya, M. (2017). Anatomical study of Euphorbia hirta L. World Journal of Pharmaceutical Research, 6(7), 1407–1416.

  • Acharya, D., & Vaidya, M. (2017). Pharmacognostic studies of Euphorbia hirta L. World Journal of Pharmaceutical Research, 6(10), 1043–1050.

  • Acharya, D., & Vaidya, M. (2017). Fluorescence analysis of Euphorbia hirta L. [No journal details provided].

  • Acharya, D., & Vaidya, M. (2024). Anatomical studies in the leaves of Hydnocarpus pentandrus (Buch.-Ham) Oken. Journal of Indian Botanical Society, 105(1), 73–79.

  • Acharya, D., & Vaidya, M. (2024). In-vitro antioxidant activity of hydroalcoholic extract of leaves of Hydnocarpus pentandrus (Buch.-Ham) Oken. International Journal of Pharmaceutical Sciences, 2(11), 167–172.

  • Acharya, D., & Vaidya, M. (2025). Pharmacognostic investigation of the leaves of Hydnocarpus pentandrus (Buch.-Ham) Oken. Vegetos.

Conclusion

 Darshika Hitesh Acharya embodies the qualities of a passionate and promising researcher committed to advancing pharmacognosy and plant sciences. Her academic pursuits, combined with her research publications, reflect her dedication to scientific discovery and her vision of contributing to health and sustainability through natural products. With continuous growth, she is poised to make significant contributions to the global scientific community, inspiring future scholars in the field.

Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

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Mr. Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

Thapar Institute of Engineering and Technology | India

Mr. Rajesh Kumar Chaudhary is a dedicated and result-oriented academician, serving as an Assistant Professor in the Department of Computer Science and Engineering. With over five years of academic and research experience, he has established expertise in clustered federated learning, wireless sensor networks, nature-inspired optimization algorithms, and privacy-preserving distributed artificial intelligence. His professional journey reflects a blend of strong teaching acumen, impactful research contributions, and a commitment to student mentorship. By integrating cutting-edge research with pedagogical innovation, he has significantly contributed to both the academic and practical realms of computer science. His scholarly work has been published in leading international journals, positioning him as an emerging voice in the domain of distributed and intelligent systems.

Education

Mr. Chaudhary holds a solid academic foundation in Computer Science and Engineering. He is currently pursuing a doctoral degree in the discipline from a reputed institute, with his research focusing on advancing clustered federated learning through nature-inspired optimization techniques and privacy-preserving mechanisms. Prior to his doctoral studies, he completed a Master of Technology in Computer Science and Engineering from a recognized university, where he specialized in developing optimization-based solutions for networked systems. His undergraduate studies in Computer Science and Engineering laid the groundwork for his expertise in networking, algorithms, and distributed computing. His academic trajectory has been characterized by consistent excellence, deep engagement with emerging technologies, and a passion for continuous learning.

Experience

Mr. Chaudhary has served as an Assistant Professor in the Department of Computer Science and Engineering at a well-regarded university, where he played a pivotal role in both academic delivery and extracurricular technical initiatives. He has taught core and advanced subjects including Computer Networks, Cryptography, Theory of Automata, and Operating Systems. Beyond classroom teaching, he has supervised multiple student research projects in clustered federated learning, wireless sensor networks, and optimization algorithms, guiding them toward impactful academic outputs. He has also organized workshops, industrial training programs, and technical seminars to bridge the gap between academic knowledge and industry expectations. Recognized for his commitment to institutional development, he has twice received the Best Training Coordinator award for his exceptional coordination of student training and placement activities.

Research Interest

Mr. Chaudhary’s research interests encompass a range of advanced computing topics, with a central focus on clustered federated learning (CFL) — an emerging paradigm in distributed artificial intelligence. He is particularly interested in integrating nature-inspired optimization algorithms, such as grey wolf optimization, real-coded genetic algorithms, and artificial bee colony optimization, to enhance the performance, scalability, and efficiency of CFL systems. His work also delves into privacy-preserving machine learning frameworks, aiming to ensure data security while maintaining high accuracy in distributed environments. Additionally, his research contributions to wireless sensor networks include the development and optimization of energy-efficient communication protocols, making significant strides toward sustainable IoT deployments. His scholarly output in reputed IEEE and Springer journals reflects both depth and breadth in these domains, combining theoretical rigor with practical applicability.

Awards

In recognition of his professional excellence, Mr. Chaudhary has been honored with multiple accolades. He was awarded the Best Training Coordinator on two occasions for his outstanding contributions to student training programs. His postgraduate studies were marked by top academic performance, earning him institutional recognition for his achievements. He has also been acknowledged for his contributions to sports, having represented his district in senior state-level football championships. Furthermore, his research dissemination activities, including paper presentations at national conferences, highlight his active engagement with the wider academic community.

Publications

Review paper on energy-efficient protocols in wireless sensor networks

Authors: R Chaudhary, S Vatta, P No
Journal: IOSR Journal of Engineering 4 (02), 01-07
Year: 2014

A tutorial of routing protocols in wireless sensor networks

Authors: R Chaudhary, DS Vatta
Journal: International Journal of Computer Science and Mobile Computing 3 (6), 971-979
Year: 2014

Performance optimization of WSN using deterministic energy efficient clustering protocol: A review

Authors: R Chaudhary, S Vatta
Journal: International Organization of Scientific Research Journal of Engineering 4 …
Year: 2014

A systematic review on federated learning system: a new paradigm to machine learning

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Knowledge and Information Systems 67 (2), 1811-1914
Year: 2025

Enhancing clustered federated learning using artificial bee colony optimization algorithm for consumer IoT devices

Authors: RK Chaudhary, R Kumar, K Aurangzeb, J Bedi, MS Anwar, A Choi
Journal: IEEE Transactions on Consumer Electronics
Year: 2024

Ameliorating clustered federated learning using real-coded genetic algorithm

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Cluster Computing 28 (6), 1-18
Year: 2025

Ameliorating clustered federated learning using grey wolf optimization algorithm for healthcare IoT devices

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: The Journal of Supercomputing 81 (8), 976
Year: 2025

Conclusion

Mr. Rajesh Kumar Chaudhary exemplifies the qualities of a committed educator, innovative researcher, and proactive mentor. His expertise in clustered federated learning, optimization algorithms, and privacy-preserving distributed AI positions him at the forefront of technological advancements in distributed computing systems. With a career that blends academic excellence, impactful research, and active student engagement, he continues to contribute to the development of intelligent, secure, and efficient computing frameworks. His vision aligns with the future of intelligent systems, where collaborative machine learning and optimization strategies will play a crucial role in shaping secure and high-performance applications across domains.