Harshita Srivastava | Quantum Computing | Best Researcher Award

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Ms. Harshita Srivastava | Quantum Computing | Best Researcher Award

Deen Dayal Upadhyaya Gorakhpur University | India

Harshita Srivastava is an accomplished Ph.D. researcher currently pursuing her doctoral studies on Computational Studies of Novel Superalkali Clusters at D.D.U.G.U Gorakhpur. With a robust academic background in Physics and Mathematics, Harshita has made significant strides in computational chemistry and material science, focusing on superalkali clusters and their applications in areas like energy storage, drug design, and carbon dioxide activation.

👨‍🎓Profile

Scopus

Early Academic Pursuits 🎓

Harshita’s academic journey began in the Science Group at the CBSE Board, where she graduated from high school in 2012 and later completed her Intermediate studies in Mathematics in 2014. She earned her B.Sc. in Physics and Mathematics from D.D.U.G.U Gorakhpur in 2017, followed by a Master’s degree in Physics in 2019. Her keen interest in computational studies led her to pursue Ph.D. research at the same institution, where she continues to delve into the world of superalkali clusters.

Professional Endeavors 🔬

Throughout her career, Harshita has demonstrated a commitment to advancing scientific knowledge and contributing to the field of computational chemistry. Her research experience spans a wide array of topics, from superalkalis to the inhibition of SARS-CoV-2, highlighting her ability to apply computational methods to a diverse range of scientific challenges. Her work in understanding the electronic structures of clusters and exploring new materials for applications in energy storage and drug design has established her as an emerging expert in her field.

Contributions and Research Focus 🔍

Harshita’s research is centered around the study of superalkali clusters and their chemical properties, which has implications for a variety of applications. She has contributed to significant publications in top-tier journals like Frontiers in Physics, Chemical Physics Letters, and Journal of the Indian Chemical Society. Her work also extends to material science, specifically studying molecular dynamics, quantum chemistry, and their potential applications in sustainable development. By investigating the interaction of molecules with superalkalis, Harshita has helped to enhance our understanding of nonlinear optical responses, hydrogen storage, and energy-efficient materials.

Impact and Influence 🌍

Harshita’s research is influencing the scientific community, particularly in the realms of superalkalis and nanomaterials. Her work has applications in carbon dioxide activation, hydrogen storage, and the design of strong bases and superbases, which could significantly contribute to addressing global energy and environmental challenges. Additionally, her book chapter contributions on superalkalis, which were published by Taylor & Francis/CRC Press, further demonstrate her scientific influence and commitment to advancing knowledge in her field.

Research Skills 🔧

Harshita possesses advanced research skills, particularly in computational modeling, ab initio studies, and quantum chemical simulations. She is proficient in using a variety of simulation tools such as the Amsterdam Modelling Suite and has experience in docking studies and molecular dynamics simulations. These skills have enabled her to tackle complex scientific problems and make meaningful contributions to the study of novel materials and superalkali chemistry. Her expertise in data analysis and theoretical modeling also positions her as a leader in her research area.

Awards and Honors 🏆

While Harshita is still in the early stages of her career, she has already received significant recognition for her work. Her participation and presentation at conferences such as the International Conference on Nanotechnology and Materials for Energy & Sustainable Development have been well-received. She has also been acknowledged for her contributions to research with certificates and awards from renowned institutions, showcasing her growing reputation in the scientific world.

Legacy and Future Contributions 🔮

Harshita Srivastava’s future in research is bright. With her ongoing work in computational chemistry and superalkali clusters, she is poised to make even more significant contributions to material science, nanotechnology, and sustainability. As she continues to expand her research portfolio, Harshita has the potential to leave a lasting legacy in the scientific community, driving innovations in clean energy, drug design, and environmental solutions. Her work has already laid the foundation for future breakthroughs, and her career is one to watch closely as she continues to push the boundaries of scientific understanding.

Publications Top Notes

BH6+: Revisiting borohydride cation with negatively charged boron and its possible implications for hydrogen storage

  • Authors: Srivastava, A.K., Das, P., Srivastava, H., Chattaraj, P.K.
    Journal: Chemical Physics, 2024

Interaction of N2, O2 and H2 Molecules with Superalkalis

  • Authors: Srivastava, H., Kumar Srivastava, A., Misra, N.
    Journal: ChemistryOpen, 2024

Engineering novel alkalides with superalkali clusters: Ab initio insights into nonlinear optical responses

  • Authors: Srivastava, H., Srivastava, A.K.
    Journal: Molecular Simulation, 2024

Superalkalis in the Design of Strong Bases and Superbases

  • Authors: Srivastava, H., Srivastava, A.K.
    Book Title: Superhalogens and Superalkalis: Bonding, Reactivity, Dynamics and Applications, 2024

Effect of Methyl Substitutions on the Ionization Energy of OH3−n(CH3)n+

  • Authors: Srivastava, H., Tripathi, J.K., Srivastava, A.K.
    Book Title: Springer Proceedings in Materials, 2024

 

 

 

Tian Luan | Quantum Technologies | Best Researcher Award

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Dr. Tian Luan | Quantum Technologies | Best Researcher Award

China Academy of Electronics and Information Technology | China

Dr. Luan Tian is a Senior Engineer at the China Academy of Electronics and Information Technology and an off-campus tutor for doctoral students at Southeast University. He is recognized as a young expert in the field of Quantum Information within the China Electronics Technology Group Corporation. Luan Tian currently holds the position of Operation Director in charge of scientific research at the Yangtze River Delta Industrial Innovation Center of Quantum Technology. He is regarded as an outstanding youth of China Electronics Technology and a leading talent in Suzhou innovation.

👨‍🎓 Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Luan Tian’s academic journey began with a strong foundation in quantum physics and information technology, paving the way for his future in the Quantum Information field. His educational background equipped him with the critical skills to contribute to cutting-edge advancements in technology. As an off-campus tutor at Southeast University, Luan plays a key role in guiding and mentoring the next generation of scientists and engineers in Quantum Computing.

Professional Endeavors 🏆

Dr. Luan Tian’s professional career spans multiple high-level roles, including leadership positions in research and development and industrial innovation. He has successfully led major tasks and projects funded by the China Electronics Science and Technology Development Fund, bringing forward revolutionary advancements in Quantum Computing. His leadership has been pivotal in the development of China’s first fully autonomous 20-bit superconducting Quantum computer and in shaping the industrial chain for superconducting Quantum technologies domestically.

Contributions and Research Focus 🔬

Dr. Luan Tian’s research focus lies in the realm of Quantum Information and Quantum Computing, particularly in the development of superconducting quantum computers. He has made substantial contributions by spearheading projects that resulted in the successful creation of a 20-bit fully autonomous superconducting quantum computer. His work in the industrialization of quantum technologies, especially superconducting quantum computers, has been instrumental in shaping the domestic industry and solidifying China’s position in the global quantum race.

Impact and Influence 🌍

Dr. Luan Tian has had a tremendous impact on both the academic and industrial sectors of Quantum Technology. As the Operation Director of the Yangtze River Delta Industrial Innovation Center of Quantum Technology, he has facilitated the growth and development of quantum technologies in the region. His leadership has contributed to building the core equipment and infrastructure needed to support the future of quantum computing in China and has made a significant contribution to the global quantum computing community.

Academic Cites 📚

Dr. Luan Tian’s academic contributions are reflected in his publications, with more than ten high-level academic papers in peer-reviewed journals. These papers have been widely cited, showcasing the relevance and impact of his research in the field of Quantum Information. His work has gained recognition from scholars worldwide, solidifying his position as a leader in Quantum Computing.

Research Skills 🔧

Dr. Luan Tian possesses exceptional research skills, particularly in the areas of quantum systems design, superconducting qubits, and quantum information processing. He has a deep understanding of quantum hardware and software integration, making him a crucial figure in developing practical quantum computing solutions. His research is at the forefront of advancing quantum computing toward real-world applicability.

Teaching Experience 🍎

As an off-campus tutor for doctoral students, Luan Tian has a significant role in shaping the next generation of quantum researchers. His teaching experience reflects his commitment to academia and his passion for nurturing young talent in the emerging field of Quantum Computing. His mentorship extends beyond lectures, as he actively guides students through their research endeavors, preparing them for future challenges in the tech industry.

Awards and Honors 🏅

Dr. Luan Tian has received numerous awards and recognitions for his outstanding contributions to Quantum Information and Quantum Computing. He has been recognized as an outstanding youth by the China Electronics Technology Group Corporation and as a leading talent in Suzhou innovation. His work has earned him high regard within both academic and industrial communities, and he continues to receive praise for his leadership in scientific research.

Legacy and Future Contributions 🔮

Dr. Luan Tian’s legacy in Quantum Technology is already taking shape. His pioneering work in superconducting quantum computers and quantum technologies is expected to have a lasting influence on the global scientific community. Moving forward, he aims to expand his research into interdisciplinary areas, pushing the boundaries of Quantum Computing and Quantum Information. As a leading figure in China’s quantum industry, his future contributions will likely continue to shape the global landscape of quantum technology.

  Publications Top Notes

Non-Markovian quantum gate set tomography

  • Authors: Li, Z.-T., Zheng, C.-C., Meng, F.-X., Zhang, Z.-C., Yu, X.-T.
    Journal: Quantum Science and Technology
    Year: 2024

A quantum synthetic aperture radar image denoising algorithm based on grayscale morphology

  • Authors: Wang, L., Liu, Y., Meng, F., Zhang, Z., Yu, X.
    Journal: iScience
    Year: 2024

Improved Quantum Approximate Optimization Algorithm for Low-Density Parity-Check Channel Decoding

  • Authors: Zeng, H., Meng, F., Luan, T., Yu, X., Zhang, Z.
    Journal: Advanced Quantum Technologies
    Year: 2024

Quantum Tomography: From Markovianity to Non-Markovianity

  • Authors: Luan, T., Li, Z., Zheng, C., Yu, X., Zhang, Z.
    Journal: Symmetry
    Year: 2024

Practical circuit optimization algorithm for quantum simulation based on template matching

  • Authors: Liu, Y., Zhang, Z., Hu, Y., Zhang, X., Yu, X.
    Journal: Quantum Information Processing
    Year: 2024

 

 

Ni Liu | Quantum Technologies | Best Extension Activity Award

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Mrs. Ni Liu | Quantum Technologies | Best Extension Activity Award

Teacher at Shanxi University, China

Ni Liu, a 34-year-old female academic from Shanxi, China, is an Associate Professor at the Institute of Theoretical Physics of Shanxi University. With a PhD in Theoretical Physics from Shanxi University, her research primarily focuses on quantum optics, quantum computing, and condensed matter physics, especially in systems involving ultracold atoms and high-finesse optical cavities. Ni Liu has been involved in a range of pioneering theoretical and experimental work, contributing significantly to our understanding of quantum phase transitions and atom-photon interactions.

👨‍🎓 Profile

📚 Early Academic Pursuits

Ni Liu completed her BS in Physics at Taiyuan Normal University in 2008 and later earned her PhD in Theoretical Physics from the Institute of Theoretical Physics of Shanxi University (2008-2013). Her doctoral research, under the mentorship of Prof. Jiuqing Liang and Prof. Gang Chen, involved significant contributions to Dicke quantum phase transitions in open systems and the self-organization of Bose-Einstein condensates (BEC), laying the foundation for her future work in quantum optics.

🏫 Professional Endeavors

Ni Liu has been a prominent academic at Shanxi University since 2013. She began as a lecturer at the School of Physical and Electronic Engineering and later advanced to the role of Associate Professor at the Institute of Theoretical Physics. Over the years, she has gained significant recognition in both national and international academic communities for her theoretical work and contributions to quantum physics.

🔬 Contributions and Research Focus

Ni Liu’s research primarily revolves around the interaction between ultracold atoms and high-finesse optical cavities, exploring systems that bridge quantum optics and condensed matter physics. Her work in Dicke quantum phase transitions and nonlinear atom-photon interactions has broadened the understanding of quantum phase transitions, including in BEC-cavity systems. Liu has contributed to the theory behind Bose-Einstein condensates (BEC) in optomechanical cavities, where she has proposed novel quantum phase transitions and multi-component BEC systems.

💼 Research Grants & Funding

Ni Liu has been the principal investigator on several significant grants:

  • National Natural Science Foundation of China (2014-2017)
  • Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi Province (2014-2016)
  • Natural Science Foundation of Shanxi Province (2017-2019) Additionally, she has been a key participant in several other collaborative projects, contributing to the advancement of experimental and theoretical quantum physics.

🌍 Collaborations and Partnerships

Ni Liu’s research has fostered collaborations with both national and international researchers. Her contributions to quantum optics and condensed matter physics have involved joint efforts with leading universities and research institutions in China and beyond. Her work is at the intersection of experimental physics and theoretical quantum mechanics, fostering collaboration between these disciplines.

Top Noted Publications

 

 

Lilia Tightiz | Quantum Computing | Best Researcher Award

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Assist. Prof. Dr. Lilia Tightiz | Quantum Computing | Best Researcher Award

Assistant Professor at Gachon University, South Korea

Dr. Lilia Tightiz is an accomplished Assistant Professor at Gachon University, Korea, specializing in Computer Science and Engineering. She earned her Ph.D. in Computer Science and Engineering from Sejong University, Korea, in February 2022. With over 15 years of experience in the Electric Power Distribution Industry, Dr. Tightiz has made significant contributions in the design, utilization, and maintenance of electricity distribution grids. She has received numerous accolades, including world-class prizes for her inventions and contributions to the power distribution sector. Dr. Tightiz’s research interests span microgrid energy management, smart grid communication, and quantum machine learning, with a focus on deep reinforcement learning applications in power systems.

Profile🎓

Early Academic Pursuits 🎓

Lilia Tightiz began her academic journey in the field of Computer Science and Engineering, receiving her Ph.D. degree from Sejong University, Korea, in February 2022. Her early academic pursuits were driven by a passion for technological advancements in the electric power distribution sector, which laid the foundation for her future research in microgrid energy management systems and smart grids. Her doctoral research focused on deep, specialized topics within power systems and energy management, helping her build a strong foundation in renewable energy integration and smart grid technologies. With a solid academic background in engineering and computer science, Dr. Tightiz combines practical and theoretical insights to approach modern energy challenges.

Professional Endeavors ⚡

Dr. Tightiz has accumulated over 15 years of professional experience in the Electric Power Distribution Industry. As a Power Distribution Engineer, she contributed to the design, utilization, and maintenance of electricity distribution grids, working on several impactful projects. Her expertise in the sector is demonstrated through her numerous patents and recognition in prestigious forums such as the International Trade Fair for Ideas, Inventions, New Products in Nuremberg, Germany, and the Korean International Women Invention event. These accolades highlight her global influence and her role in transforming the power distribution industry. Dr. Tightiz has also contributed significantly to energy technology exhibitions, such as the Bitgaram International Exposition of Electric Power Technology and the International Invention Fair.

Contributions and Research Focus 🔬

Dr. Tightiz’s research is centered around microgrid energy management, smart grid communication structures, and deep reinforcement learning applications in power systems. She has delved into the intersection of electric vehicles (EVs), charging/discharging scheduling, and quantum machine learning, which are emerging areas in the modern energy landscape. Her work also explores the integration of IEC 61850 and IEC 62439 standards into smart grid systems, ensuring seamless communication and improved system resilience. Dr. Tightiz is particularly focused on optimizing energy efficiency and enhancing grid stability, leveraging cutting-edge technologies like deep reinforcement learning to offer innovative solutions for energy management systems in microgrids.

Impact and Influence 🌍

Dr. Tightiz has had a significant impact on both industry practices and academic research in the power distribution and energy management sectors. Her participation in international trade fairs and expos, along with her patents and world-class prizes, underscores her influence on global energy systems. As an associate editor for the e-Prime (Elsevier) Journal, she has contributed to advancing knowledge and fostering innovation in her field. Her work has been pivotal in bridging the gap between traditional power systems and emerging smart grid technologies, and her contributions are shaping the future of sustainable energy.

Academic Cites 📚

Dr. Tightiz’s research has garnered significant attention, with her work being widely cited in top-tier journals and conferences. Her academic contributions, particularly in deep reinforcement learning and smart grid communication, have positioned her as a leading expert in the field of power systems and energy management. Her efforts to integrate quantum machine learning with power distribution have been recognized as cutting-edge, with increasing citations and collaborations from leading institutions and industry stakeholders.

Technical Skills 🛠️

Dr. Tightiz’s technical expertise spans a wide array of skills and knowledge areas that are critical for modern power systems. She is proficient in deep reinforcement learning algorithms, smart grid communication protocols (IEC 61850, IEC 62439), and the development of microgrid energy management systems. Additionally, she is well-versed in energy optimization techniques, power system modeling, and quantum computing applications in power grids. Her multi-disciplinary skill set makes her a versatile researcher and educator in both engineering and computer science.

Teaching Experience 👩‍🏫

Dr. Tightiz currently serves as an assistant professor at Gachon University, Korea, where she began her academic career in April 2022. Her teaching focuses on cutting-edge topics such as smart grids, power systems, machine learning, and quantum computing in energy applications. Her strong professional background allows her to bring real-world experiences into the classroom, making her lectures highly relevant to current energy challenges. Dr. Tightiz fosters an interactive learning environment, encouraging her students to engage with modern technologies like microgrids and reinforcement learning algorithms to solve pressing energy issues.

Legacy and Future Contributions 🌟

Dr. Tightiz’s legacy is already being shaped by her innovative contributions to the power distribution industry and her leading-edge research in smart grid technologies. Looking forward, she aims to further advance the integration of quantum machine learning in power system optimization and continue her work on microgrids. Her future research will explore sustainable energy solutions and contribute to the global transition towards renewable energy. Dr. Tightiz is also focused on training the next generation of energy scientists and engineers, with a focus on developing innovative technologies that will drive energy sustainability and grid stability.

Top Noted Publications📖

Metaverse-driven smart grid architecture
    • Authors: Lilia Tightiz, L. Minh Dang, Sanjeevikumar Padmanaban, Kyeon Hur
    • Journal: Energy Reports
    • Year: 2024
Enhancing data security and privacy in energy applications: Integrating IoT and blockchain technologies
    • Authors: Hari Mohan Rai, Kaustubh Kumar Shukla, Lilia Tightiz, Sanjeevikumar Padmanaban
    • Journal: Heliyon
    • Year: 2024
Quantum-Fuzzy Expert Timeframe Predictor for Post-TAVR Monitoring
    • Authors: Lilia Tightiz, Joon Yoo
    • Journal: Mathematics
    • Year: 2024
Providing an Intelligent Frequency Control Method in a Microgrid Network in the Presence of Electric Vehicles
    • Authors: Mousa Alizadeh, Lilia Tightiz, Morteza Azimi Nasab
    • Journal: World Electric Vehicle Journal
    • Year: 2024
Implementing AI Solutions for Advanced Cyber‐Attack Detection in Smart Grid
    • Authors: Lilia Tightiz, Rashid Nasimov, Morteza Azimi Nasab, Mohamed Louzazni
    • Journal: International Journal of Energy Research
    • Year: 2024
A cluster-based trusted routing method using fire hawk optimizer (FHO) in wireless sensor networks (WSNs)
    • Authors: Mehdi Hosseinzadeh, Joon Yoo, Saqib Ali, Jan Lansky, Stanislava Mildeova, Mohammad Sadegh Yousefpoor, Omed Hassan Ahmed, Amir Masoud Rahmani, Lilia Tightiz
    • Journal: Scientific Reports
    • Year: 2023
A secure routing approach based on league championship algorithm for wireless body sensor networks in healthcare
    • Authors: Mehdi Hosseinzadeh, Adil Hussein Mohammed, Amir Masoud Rahmani, Farhan A. Alenizi, Seid Miad Zandavi, Efat Yousefpoor, Omed Hassan Ahmed, Mazhar Hussain Malik, Lilia Tightiz
    • Journal: PLOS ONE
    • Year: 2023