Radhika khanna | Chemistry | Best Researcher Award

Posted on by ScienceFather

Mrs. Radhika khanna | Chemistry | Best Researcher Award

Researcher at FRI, India

Mrs. Radhika Khanna is an accomplished researcher and educator whose career embodies a seamless blend of academic excellence and innovative scientific inquiry. Her work spans multiple disciplines, merging the realms of medical sciences, chemistry, and education to generate impactful research and practical solutions. With an impressive portfolio that includes significant research publications and a patented formulation for diabetes management, she has consistently demonstrated her ability to convert theoretical knowledge into real-world applications. In addition to her research, she has been an inspiring teacher, effectively engaging students at both TGT and PGT levels. Her active participation in national and international conferences, along with her continuous pursuit of professional development through various certification programs, reflects her unwavering commitment to advancing science and education. As she continues her Ph.D. journey at a prestigious research institute, her dynamic contributions mark her as a promising leader in the scientific community.

Professional Profile 

Education

Mrs. Radhika Khanna’s academic journey is marked by diversity and determination. She began her formal education at Shri Ram Ashram Public School, Amritsar, where she completed her SSC with commendable performance in 2010–2011. Building on this strong foundation, she pursued her HSC at Bhavans SL Public School, Amritsar in 2012–2013, securing an impressive 84%. She then obtained her Bachelor of Science in Medical from S.R. Government College, Amritsar (2013–2016), followed by a Master of Science in Chemistry from Khalsa College, Amritsar (2016–2018). Demonstrating a passion for teaching alongside scientific inquiry, she completed her B.Ed in Science at M.L.M College, Amritsar (2018–2020). Currently, she is advancing her scholarly pursuits through a Ph.D. at the Forest Research Institute, Dehradun, where her thesis has been completed and is under review, highlighting her dedication to research and academic excellence.

Professional Experience

Mrs. Radhika Khanna has built a robust professional profile that bridges high-caliber research and impactful teaching. Her early career was marked by her involvement in a research project on the design and synthesis of Schiff base-based chemosensors at Khalsa College, Amritsar (2017–2018) under the mentorship of Dr. Kuljit Kaur. She then transitioned into the field of education, serving as a TGT and PGT Chemistry teacher at Shri Ram Ashram Public School, Amritsar from 2018 to 2020, where she employed innovative and interactive teaching methods. In 2020, she furthered her research career with a project on the chemical characterization of forest genetic resources at the Forest Research Institute, Dehradun, under the guidance of Dr. V.K. Varshney. In parallel, she has actively participated in various national and international conferences, presenting her findings and earning accolades such as a best poster award, thereby enhancing her reputation as both a dedicated researcher and an influential educator.

Research Interest

Mrs. Radhika Khanna’s research interest lies at the intersection of natural product chemistry and sustainable forest resource management. She is particularly focused on the chemical characterization and pharmacological evaluation of bioactive compounds derived from lesser-known forest species. Her work encompasses the exploration of novel natural antioxidants, anti-inflammatory agents, and antidiabetic compounds, with a significant emphasis on Cupressus torulosa. By employing advanced techniques such as UPLC-QTOF-MS, LCMS, and GCMS, she aims to elucidate the metabolomic profiles of these plants and establish their potential for therapeutic applications. Her research not only contributes to the scientific understanding of plant-based bioactives but also supports the sustainable utilization of forest genetic resources. Through this work, she seeks to bridge traditional knowledge with modern analytical science, thereby paving the way for innovative drug discovery and environmental conservation strategies that can benefit both human health and biodiversity.

Awards and Honors

Mrs. Radhika Khanna has received several accolades and recognitions that underscore her commitment to scientific excellence and innovation. Among her notable honors is the best poster award, which was conferred at a national conference highlighting her exceptional presentation on the toxicity studies and hypoglycemic activity of natural extracts. In addition, she holds a patent for a formulation aimed at treating diabetes mellitus and its complications, marking a significant milestone in her research career. Her active participation and presentations at international conferences, such as those in Nepal and during the Young Scientist Conference organized by prestigious governmental bodies, further attest to her research prowess. These awards and honors not only recognize her technical expertise and innovative approach but also inspire her continuous pursuit of excellence in both academic and applied research domains.

Research Skills

Mrs. Radhika Khanna possesses a robust set of research skills that are integral to her success as a scientist and educator. Her technical proficiency spans a wide array of advanced analytical instruments including UV/IR spectroscopy, GCMS, HPLC, LCMS, and GCFID, which she utilizes to perform detailed chemical analyses and compound characterizations. She is adept at employing chromatographic techniques such as column and flash chromatography to isolate and purify complex mixtures. In addition to her laboratory skills, she is proficient in data interpretation, enabling her to draw meaningful conclusions from experimental results. Her computational skills, including proficiency in C++, HTML, and various graphic design tools like Corel Draw and Adobe Photoshop, further enhance her ability to present and communicate research findings effectively. Overall, her blend of technical expertise, analytical rigor, and innovative thinking positions her as a highly capable researcher with a significant impact on both scientific inquiry and applied research practices.

Conclusion

Radhika Khanna stands out as a strong candidate for the Best Researcher Award. Her multidisciplinary expertise, advanced technical skills, and a growing portfolio of high-quality research outputs make her well-suited for this recognition. With strategic improvements—especially in fostering collaborations, enhancing her publication profile, and strengthening grant acquisition—she has the potential to significantly elevate her research impact and contribute even more robustly to her field.

Publications Top Noted

Publication 1:
Title: In vitro and in vivo anti-inflammatory activity of Cupressus torulosa D. DON needles extract and its chemical characterization
Authors: R Khanna, K Bhadoriya, YC Tripathi, VK Varshney
Year: 2023
Citation: Journal of Ethnopharmacology, Volume 314, Article 116578 (2023).

Publication 2:
Title: Cupressus torulosa, a Source of Antioxidant Polyphenols: An Analytical and Pharmacological Study
Authors: R Khanna, HR Chitme, K Bhadoriya, VK Varshney
Year: 2025
Citation: Rapid Communications in Mass Spectrometry, Volume 39, Issue 3, Article e9945 (2025).

Publication 3:
Title: In Vitro and In Vivo Assessment of Antidiabetic Activity of Cupressus torulosa D. Don Needles, Their LCQTOFMS Assisted Metabolite Profiling, and Implications for Diabetes Management
Authors: R Khanna, HR Chitme, K Bhadoriya, YC Tripathi, VK Varshney
Year: 2025
Citation: Journal of Mass Spectrometry: JMS, Volume 60, Issue 3, Article e5117 (2025).

Publication 4:
Title: UPLC-QTOF-MS-based metabolomics and chemometrics studies of geographically diverse C. torulosa needles
Authors: R Khanna, VK Varshney, K Bhadoriya
Year: 2025
Citation: Analytical Methods (2025).

Publication 5:
Title: Toxicity studies, Hypoglycaemic activity of Cupressus torulosa needles and recognition of active molecules
Authors: R Khanna
Year: [Year not specified]
Citation: MDPI – [Further citation details not provided].

Jun Dai | Engineering | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. Jun Dai | Engineering | Best Researcher Award

Associate Professor at Beijing institute of technology, China

Dr. Jun Dai is a distinguished researcher whose work has significantly advanced the fields of microfabrication, superconducting devices, and microsystem dynamics. He has built a robust reputation through his innovative research and diverse expertise in smart materials and MEMS technologies. Over the course of his career, Dr. Dai has secured 15 patents, authored 16 refereed journal articles, and delivered more than 30 technical presentations at both national and international conferences. His research is backed by multiple prestigious national projects, including those funded by the National Natural Science Foundation of China and the National Key R&D Program of China, which attest to his leadership and vision in addressing complex engineering challenges. By consistently pushing the boundaries of technology, Dr. Dai has made enduring contributions that benefit academic institutions, industry partners, and the broader scientific community, setting a high standard for excellence and innovation. His exemplary record consistently inspires future researchers worldwide.

Professional Profile 

Education

Dr. Jun Dai’s academic journey laid a robust foundation for his innovative career in engineering and technology. He earned his master’s degree in Mechatronical Engineering from Beijing Institute of Technology in 2010, where he developed a strong background in system dynamics and smart materials. Building on this expertise, he pursued a Ph.D. in Mechanical Engineering at the University of Tokyo, graduating in 2013. His doctoral research, which centered on microfabrication, superconducting devices, and focused-ion-beam chemical vapor deposition, showcased his ability to tackle complex engineering challenges with precision and creativity. Throughout his studies, Dr. Dai was recognized with prestigious awards and scholarships, including support from the China National Scholarship and the China Scholarship Council, affirming his academic excellence. This rigorous educational experience not only honed his technical skills but also instilled a passion for research and innovation that continues to drive his groundbreaking contributions to science and technology. Inspiring his future.

Professional Experience

Dr. Jun Dai’s professional journey is marked by rapid career progression and significant contributions to academia and industry. Beginning his career as a lecturer at Beijing Institute of Technology in 2013, he quickly demonstrated exceptional research and teaching capabilities, leading to his promotion to Associate Professor in 2018. His experience as a visiting researcher at the University of Tokyo in 2015 and 2019 further enriched his international perspective and collaborative skills. Dr. Dai has led high-profile research projects funded by prestigious organizations such as the National Natural Science Foundation of China and the National Key R&D Program of China, underscoring his leadership and innovation. In addition to his research accomplishments, he contributes to the academic community through roles on technical program committees, session chair positions, and as an evaluation expert for major funding bodies. His professional experience reflects a commitment to excellence, interdisciplinary collaboration, and innovation, driving future technological progress.

Research Interest

Dr. Jun Dai’s research interests focus on the integration of microscale engineering and advanced materials science, addressing fundamental challenges in device miniaturization and smart system design. His work spans microfabrication, superconducting devices, and focused-ion-beam chemical vapor deposition, enabling the creation of innovative nanoscale components. Dr. Dai is passionate about exploring the dynamics of microsystems, where the interplay between thermal, electrical, and mechanical fields can be harnessed for enhanced device performance. His research projects include developing thermally driven MEMS optical switches and investigating energy conversion mechanisms in rotary magnetorheological actuators. In addition, he is involved in research on nanoresonator coupling with superconducting circuits and the design of intelligent control systems for high-speed magnetic liquid seals. Through this interdisciplinary approach, Dr. Dai aims to push the boundaries of microelectromechanical systems, contributing both theoretical insights and practical solutions that advance modern engineering applications. His innovative approach continues to inspire new developments and collaborative research efforts.

Award and Honor

Dr. Jun Dai has been recognized with numerous awards and honors that reflect his exceptional contributions to engineering research and innovation. Throughout his career, he has received prestigious accolades, including the China National Scholarship from the China Scholarship Council during his doctoral studies and the JASSO Follow-up Research Fellowship, which recognized his promising research potential. These honors affirm his commitment to excellence and his role as a leading innovator in microfabrication, superconducting devices, and MEMS technology. His recognition extends beyond national boundaries, as international collaborations and accolades have further underscored his impact on the global research community. Dr. Dai’s award portfolio not only celebrates his technical achievements but also highlights his leadership, creative problem-solving, and dedication to advancing microsystem dynamics. These awards serve as a testament to his outstanding research capabilities and inspire both peers and emerging scientists to pursue groundbreaking work in modern engineering disciplines, earning further international prestige.

Research Skill

Dr. Jun Dai demonstrates an impressive array of research skills that combine rigorous theoretical analysis with innovative experimental techniques. His proficiency in microfabrication, particularly using focused-ion-beam chemical vapor deposition, allows him to develop advanced superconducting nanodevices with exceptional precision. Dr. Dai’s expertise spans multiple disciplines, including mechanical engineering, materials science, and electronics, enabling him to tackle complex problems in microsystems and smart material-based devices. He excels in designing controlled experiments, utilizing state-of-the-art instrumentation, and employing sophisticated data analysis methods to validate his hypotheses. His ability to lead large-scale, multidisciplinary projects and secure funding from prestigious bodies such as the National Natural Science Foundation of China is a testament to his research acumen. Furthermore, his strong communication skills are evident in his extensive publication record and international conference presentations, which reflect his commitment to advancing scientific knowledge and fostering collaboration across diverse research fields, demonstrating mastery in innovative research techniques successfully.

Conclusion

Dr. Jun Dai presents a compelling case for the Best Researcher Award. His strong academic credentials, innovative research portfolio, impressive publication and patent record, and significant professional service mark him as an outstanding contributor to his field. With minor enhancements in collaborative efforts, mentorship, and thematic diversification, his already exemplary record positions him as a highly suitable candidate for the award.

Publications Top Noted

Publication 1:
Authors: Wenwu Wang; Zeyu Ma; Qi Shao; Jiangwang Wang; Leixin Wu; Xiyao Huang; Zilu Hu; Nan Jiang; Jun Dai; Liang HE
Year: 2024
Citation: “Multi-MXene assisted large-scale manufacturing of electrochemical biosensors based on enzyme-nanoflower enhanced electrodes for the detection of H₂O₂ secreted from live cancer cells,” Nanoscale, 2024, DOI: 10.1039/d4nr01328j

Publication 2:
Authors: Kai Yang; Zhe Zhu; Xin He; Ruiqi Song; Xiaoqiao Liao; Leixin Wu; Yixue Duan; Chuan Zhao; Muhammad Tahir; Jun Dai et al.
Year: 2024
Citation: “High-performance zinc metal anode enabled by large-scale integration of superior ion transport layer,” Chemical Engineering Journal, July 2024, DOI: 10.1016/j.cej.2024.152114

Publication 3:
Authors: Zeyu Ma; Wenwu Wang; Yibo Xiong; Yihao Long; Qi Shao; Leixin Wu; Jiangwang Wang; Peng Tian; Arif Ullah Khan; Wenhao Yang et al.
Year: 2024
Citation: “Carbon Micro/Nano Machining toward Miniaturized Device: Structural Engineering, Large‐Scale Fabrication, and Performance Optimization,” Small, July 19, 2024, DOI: 10.1002/smll.202400179

Publication 4:
Authors: Haitian Long; Song Tian; Qiulei Cheng; Lingfei Qi; Jun Dai; Yuan Wang; Ping Wang; Sheng Liu; Mingyuan Gao; Yuhua Sun
Year: 2024
Citation: “Highly durable and efficient power management friction energy harvester,” Nano Energy, May 2024, DOI: 10.1016/j.nanoen.2024.109363

Publication 5:
Authors: Tairong Zhu; Tong Wu; Zheng Gao; Jianwen Wu; Qiaofeng Xie; Jun Dai
Year: 2024
Citation: “Anti-sedimentation mechanism of rotary magnetorheological brake integrating multi-helix microstructure,” International Journal of Mechanical Sciences, March 2024, DOI: 10.1016/j.ijmecsci.2024.108980

Publication 6:
Authors: Jun Dai; Changlei Feng; Jin Xie; Mingyuan Gao; Tao Zhen
Year: 2023
Citation: “Design and Control of an Analog Optical Switch Based on the Coupling of an Electrothermal Actuator and a Mass–Spring System,” IEEE/ASME Transactions on Mechatronics, 2023, DOI: 10.1109/tmech.2023.3238109

Publication 7:
Authors: Shuai Yang; Yumei Li; Ling Deng; Song Tian; Ye Yao; Fan Yang; Changlei Feng; Jun Dai; Ping Wang; Mingyuan Gao
Year: 2023
Citation: “Flexible thermoelectric generator and energy management electronics powered by body heat,” Microsystems & Nanoengineering, August 24, 2023, DOI: 10.1038/s41378-023-00583-3

Dr.N Shirisha | Computer Science | Women Researcher Award

Posted on by ScienceFather

Mrs. Dr.N Shirisha | Computer Science | Women Researcher Award

Associate Professor at MLR Institute of Technology, India

Dr. Shirisha Nalla is a distinguished researcher and academic with a robust profile characterized by innovative research contributions, technological expertise, and a passion for advancing software engineering. Her career is highlighted by numerous high-quality publications in internationally recognized journals and conferences. She has made significant strides in diverse research areas including quantum key distribution, cloud security, IoT applications, and deep learning, which have led to multiple patents and innovative solutions. Dr. Nalla’s interdisciplinary approach and commitment to excellence are evident from her consistent record of first-class academic achievements and leadership roles in various academic and research initiatives. Her work not only bridges theoretical advancements and practical implementations but also supports student development and departmental growth. Driven by curiosity and determination, she continues to explore emerging technologies and foster a collaborative research environment that inspires peers and students alike. Her impressive track record and dedication mark her as an influential leader.

Professional Profile 

Education

Dr. Shirisha Nalla has established a strong academic foundation through exemplary performance at every stage of her education. She earned her Ph.D. from K L University in 2021, following her M.Tech in Software Engineering from DRK Institute Of Science & Technology, affiliated with Jawaharlal Nehru Technological University, where she excelled with First Class Distinction during 2010-2012. Earlier, she completed her B.Tech in Computer Science & Engineering from Malla Reddy Institute of Technology & Science under JNTU in 2005-2009, again graduating with First Class Distinction. Her formative years were marked by consistent excellence in academics, as she secured First Class Distinction in Intermediate studies and her 10th class examinations. Each milestone of her education reflects a commitment to rigorous study, technical proficiency, and intellectual curiosity, laying the groundwork for a career in research and software development. Her academic achievements are a testament to her discipline, resilience, and lifelong pursuit of knowledge.

Professional Experience

Dr. Shirisha Nalla brings over a decade of teaching and research experience to her academic career. She has served as an Associate Professor at Malla Reddy Institute of Technology & Science for more than 10.5 years, contributing significantly to curriculum development, research mentorship, and departmental leadership. Prior to this role, she gained valuable experience as an Assistant Professor at multiple institutions, including one year at SMEC, one year at NNRG, and three years at DRK Institute Of Science & Technology. In these roles, she has taught a wide range of subjects including mobile application development, operating systems, big data analytics, and machine learning, among others. Her professional journey is marked by a commitment to academic excellence, innovative teaching methods, and active participation in research projects, hackathons, and technology initiatives, which have enriched her pedagogical approach and furthered her impact on the academic community. Her experience continues to inspire academic innovation.

Research Interest

Dr. Shirisha Nalla’s research interests lie at the intersection of cybersecurity, big data analytics, and advanced machine learning techniques. Her work focuses on developing robust security mechanisms for cloud and IoT environments, including innovative applications of quantum key distribution and cryptographic protocols to safeguard data transmission. She also explores the integration of blockchain with federated learning in vehicular networks, and designs intelligent systems for healthcare applications such as smart medical devices and EHR analytics. Additionally, her interests extend to deep learning applications for sign language conversion, automated machine learning using MLOps, and predictive modeling in areas like weather forecasting and real estate valuation. This interdisciplinary approach bridges theoretical advancements with practical implementations, driving innovation across multiple high-impact domains. Her research not only enhances the security and efficiency of digital systems but also paves the way for scalable and intelligent solutions in modern technology.

Awards and Honors

Dr. Shirisha Nalla has consistently received recognition for her academic excellence and innovative contributions in the field of software engineering and research. Her distinguished academic record, underscored by First Class with Distinction achievements at every educational milestone, reflects her unwavering commitment to excellence. Beyond academics, her numerous patents and high-quality publications in reputed journals and international conferences stand as a testament to her pioneering work. Dr. Nalla’s accolades include certifications such as the IUCEE Phase-I and several elite SWAYAM-NPTEL credentials, highlighting her advanced proficiency in emerging technologies. These honors underscore not only her technical expertise but also her ability to translate research into practical, real-world solutions. Her achievements continue to serve as a motivational beacon for emerging researchers, setting exemplary standards nationwide and inspiring both peers and students to pursue innovative and impactful research.

Research Skills

Dr. Shirisha Nalla exhibits a broad spectrum of research skills that have propelled her to the forefront of her discipline. With expertise in programming languages including R, C, C++, Java, and Python, she adeptly develops complex algorithms and software solutions to address modern challenges. Her proficiency extends to various scripting languages and database management systems, allowing her to harness large datasets for insightful analysis and model development. Dr. Nalla is well-versed in advanced methodologies such as deep learning, machine learning, and MLOps, as evidenced by her prolific publication record and patented innovations. Her interdisciplinary approach enables effective integration of cybersecurity, big data, and IoT applications. Furthermore, her hands-on experience in real-world projects, combined with her academic teaching, has refined her analytical and problem-solving skills, fostering a culture of continuous learning and innovation. This balance of technical expertise and creative research acumen underlines her significant contributions to the field.

Conclusion

Dr. Shirisha Nalla’s profile demonstrates a high level of academic excellence, a prolific and diversified research output, and a strong commitment to innovation and mentorship. These attributes make her an excellent candidate for the Women Researcher Award. While further emphasis on measurable impact and interdisciplinary outreach could enhance her profile even more, her overall contributions to software engineering and related fields stand out as both influential and inspiring.

Publications Top Noted

  • Implementation of an smart waste management system using IoT
    • Authors: P Haribabu, SR Kassa, J Nagaraju, R Karthik, N Shirisha, M Anila
    • Year: 2017
    • Citations: 50

  • K-Anonymization approach for privacy preservation using data perturbation techniques in data mining
    • Authors: A Kiran, N Shirisha
    • Year: 2022
    • Citations: 29

  • IoT based Smart Door lock system
    • Authors: G Sowmya, GD Jyothi, N Shirisha, K Navya, B Padmaja
    • Year: 2018
    • Citations: 24

  • The association between psychological stress and recurrent aphthous stomatitis among medical and dental student cohorts in an educational setup in India
    • Authors: AK Rao, S Vundavalli, NR Sirisha, CH Jayasree, G Sindhura, D Radhika
    • Year: 2015
    • Citations: 21

  • HEECCNB: An efficient IoT-cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems
    • Authors: C Veena, M Sridevi, KKS Liyakat, B Saha, SR Reddy, N Shirisha
    • Year: 2023
    • Citations: 18

  • IoT based air pollution monitoring system
    • Authors: K Nirosha, B Durgasree, N Shirisha
    • Year: 2017
    • Citations: 10

  • Authorization of data in hadoop using apache sentry
    • Authors: N Sirisha, KV Kiran
    • Year: 2018
    • Citations: 9

  • IoT-based data quality and data preprocessing of multinational corporations
    • Authors: N Sirisha, M Gopikrishna, P Ramadevi, R Bokka, KVB Ganesh, …
    • Year: 2023
    • Citations: 8

  • Stock exchange analysis using Hadoop user experience (Hue)
    • Authors: N Sirisha, KVD Kiran
    • Year: 2017
    • Citations: 8

  • Oral health related quality of life among special community adult population with low socioeconomic status residing in Guntur city, Andhra Pradesh: A cross-sectional study
    • Authors: NR Sirisha, P Srinivas, S Suresh, T Devaki, R Srinivas, BV Simha
    • Year: 2014
    • Citations: 7

  • Efficient automation using DTMF
    • Authors: SK Shareef, N Shirisha
    • Year: 2020
    • Citations: 6

  • Recent investigation on fuels, EV and hybrid electrical vehicles impacts on pollution control techniques and predictions using IOT technology
    • Authors: N Sirisha, B Cherukuru, VSS Ganni, MA Reddy
    • Year: 2021
    • Citations: 5