Dr Vivek Karthick Perumal | VLSI System Design | Best Researcher Award | 1252

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Dr Vivek Karthick Perumal | VLSI System Design | Best Researcher Award

Assistant Professor at Sona College of Engineering,India

Dr. Vivek Karthick Perumal is an Assistant Professor at Sona College of Technology, Salem, with expertise in telecommunications, VLSI design, and wireless communication architectures. He is known for his work in VLSI data path elements, low power design for wireless systems, and FPGA-based architectures. With a strong academic background, Dr. Vivek has made significant contributions to research in various VLSI and communication fields, publishing numerous papers in reputed journals and conferences.

Publication Profile

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Early Academic Pursuits 🎓

Dr. Vivek Karthick Perumal embarked on his academic journey with a strong foundation in Electronics and Communication Engineering (ECE). He completed his Bachelor’s degree in ECE from Oxford Engineering College in 2011, where his passion for technology and engineering began to take shape. He further honed his expertise by pursuing a Master’s degree in VLSI Design at Anna University Regional Campus, Coimbatore, completing it in 2013. Driven by an innate curiosity for advanced technologies, Dr. Perumal is currently in the final stages of his Ph.D. at Anna University (2024), focusing on innovative approaches to VLSI systems and telecommunications.

Professional Endeavors đź’Ľ

Dr. Perumal’s professional career has been shaped by a commitment to teaching and research. He began his career as an Assistant Professor at Kathir College of Engineering, Coimbatore, where he contributed significantly to academic excellence and research from 2013 to 2017. Currently, he is serving as an Assistant Professor at Sona College of Technology, Salem, where he continues to inspire and mentor the next generation of engineers. In addition to his academic roles, Dr. Perumal has collaborated with institutions such as IIT Kharagpur in organizing workshops, demonstrating his commitment to the advancement of education and technology.

Contributions and Research Focus 🔬

Dr. Vivek Karthick Perumal’s research interests lie primarily in the realm of VLSI design, focusing on data path elements, signal processing, and low-power VLSI for wireless communication architectures. His work includes the design of FPGA-based reconfigurable systems and multimode smart traffic control systems, aimed at improving the functionality and efficiency of modern technological applications. Dr. Perumal has published numerous papers in esteemed journals and international conferences, contributing to advancements in areas like traffic routing protocols, malware detection for 5G and IoT networks, and FPGA implementations for various standard interleaver designs.

Accolades and Recognition 🏅

Throughout his career, Dr. Perumal has received several accolades for his dedication to teaching and research. In 2022, he was recognized with an Appreciation Award for over five years of outstanding service at Sona College of Technology. Additionally, he was honored as a Workshop Coordinator for the ISTE (NMEICT, MHRD) & IIT Kharagpur workshop in 2017, reflecting his leadership and ability to facilitate knowledge sharing. His contributions to the field have garnered recognition from both his peers and the academic community at large.

Impact and Influence 🌍

Dr. Perumal’s work has had a profound impact on the VLSI design and telecommunications fields. His research has enhanced understanding and development in areas such as low-power design techniques, wireless communication systems, and reconfigurable FPGA architectures. By combining his theoretical expertise with practical implementations, he has significantly contributed to the development of smart traffic control systems and advanced communication networks, helping shape the future of IoT, 5G, and wireless technologies. His work not only influences the academic world but also has real-world applications that address pressing challenges in the telecommunications industry.

Legacy and Future Contributions 🌟

Dr. Vivek Karthick Perumal’s academic and professional journey is a testament to his unwavering commitment to innovation and excellence in the field of VLSI and telecommunications. As he continues his work in VLSI signal processing and low-power designs for wireless communication, his future contributions are expected to bring about groundbreaking advancements. His research promises to have a lasting legacy in the development of next-generation communication systems, particularly in the realms of 5G and IoT. Through his dedication, Dr. Perumal is paving the way for the next generation of engineers and researchers to push the boundaries of technology.

Publication Highlights đź“š

  1. “CNN Based Plant Disease Identification Using PYNQ FPGA” (2024), Systems and Soft Computing
  2. “FPGA Implementation of Reconfigurable Address Generator for Various Standard Interleaver” (2024), International Conference on Intelligent Data Communication Technologies and Internet of Things
  3. “Efficient Distance and Connectivity Based Traffic Density Stable Routing Protocol for Vehicular Ad Hoc Networks” (2024), IETE Journal of Research
  4. “Design and Implementation of an SPI to I2C Bridge for Seamless Communication and Interoperability Between Devices” (2024), Lecture Notes in Networks and Systems
  5. “A Lightweight CNN with LSTM Malware Detection Architecture for 5G and IoT Networks” (2024), IETE Journal of Research
  6. “FPGA Implementation of Reconfigurable Address Generator for Various Standard Interleaver” (2023), Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing, Electrical, and Electronics
  7. “OFDM Implementation of Image and Video Capturing with SD Ram Using Artix-7” (2023), AIP Conference Proceedings
  8. “An Improved Pilot Pattern Design-Based Channel Estimation in Wireless Communication Using Distribution Ant Colony Optimization” (2023), Simulation Modelling Practice and Theory
  9. “Enhancing Pancreatic Cancer Classification Through Dynamic Weighted Ensemble: A Game Theory Approach” (2023), Computer Methods in Biomechanics and Biomedical Engineering
  10. “Design of Power and Delay Efficient Fault Tolerant Adder” (2023), Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy

 

Prof Zhiping Li | Civil engineering | Best Researcher Award | 1253

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Prof Zhiping Li | Civil engineering | Best Researcher Award

Associate Professor at East China JiaoTong University,China

Dr. Zhiping Li is an Associate Professor at the School of Civil Engineering, East China Jiaotong University. Born in June 1986 in Xiantao, Hubei, China, Dr. Li holds a Ph.D. in Civil Engineering from Harbin Institute of Technology, awarded in 2021. During his academic journey, he earned the title of an Outstanding Graduate from Harbin Institute of Technology. Prior to his academic career, Dr. Li worked extensively in the field of non-ferrous metal mining engineering, contributing to over 30 domestic and international mining projects. He has received multiple industry awards and has led research and development initiatives in three-dimensional design for several years. 🌍

Publication Profile

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Education & Academic Background 🎓

Dr. Li’s educational journey began at Wuhan University of Engineering, where he obtained his undergraduate degree in Civil Engineering in 2007. He then pursued a Master’s degree in Geotechnical Engineering at Henan Polytechnic University, graduating in 2010. His passion for civil engineering led him to the prestigious Harbin Institute of Technology, where he earned his Ph.D. in Civil Engineering in 2021. During this period, he was also recognized for his outstanding academic achievements.

Professional Experience & Contributions 🏢

Dr. Li’s professional career includes a significant tenure at China Ruilin Engineering Technology Co., Ltd. from 2010 to 2017, where he held various positions, including Assistant Engineer and Engineer. He was involved in large-scale mining projects, focusing on non-ferrous metal mining design and consulting. In 2021, Dr. Li transitioned to academia, joining East China Jiaotong University as a Lecturer and was promoted to Associate Professor in 2023. His expertise extends to environmental geotechnical engineering, green concrete and structures, and the development of geotechnical engineering models using random fields and finite elements. 🌱

Research Interests & Focus 🔬

Dr. Li’s research interests are centered on Environmental Geotechnical Engineering, Green Concrete and Structures, and Geotechnical Engineering Random Fields and Finite Element Analysis. His work focuses on advancing sustainable engineering practices, particularly through the use of industrial by-products like copper tailings and fly ash in construction materials. Dr. Li’s interdisciplinary approach combines materials science, geotechnical engineering, and environmental sustainability to explore innovative solutions to contemporary engineering challenges. 🏗️

Awards and Recognition 🏅

Throughout his career, Dr. Li has earned numerous accolades, including the Excellent Engineering Design (Consultation) Award from the Chinese Nonferrous Metals Construction Industry, for his outstanding contributions to large-scale mining projects. His excellence extends beyond the professional realm, having published over 20 academic papers, with 8 of them being indexed by SCI. He has also received multiple patents and software copyrights, highlighting his innovation and commitment to advancing engineering practices. 🏆

Achievements & Impact 🌟

Dr. Li has made significant strides in advancing the sustainability of construction materials. His research on low-carbon fly ash-based geopolymers, and the use of red mud and blast furnace slag in cement-free composites, has gained international recognition. In addition, his work on the early hydration properties and multi-objective optimization of cement pastes has contributed to the improvement of cementitious materials for construction. His research is influential, often cited in top journals such as Construction and Building Materials and the Journal of Environmental Management. 🔬

Upcoming Projects & Initiatives 🚀

Dr. Li is currently leading multiple research projects, including a National Natural Science Foundation project on copper tailings geopolymer evolution and heavy metal migration. He is also involved in ecological restoration research for waste mining lands in Jiangxi Province. These projects reflect his dedication to both theoretical advancements and practical applications in the field of sustainable civil engineering. đź’ˇ

Publications  📚

  1. Li, Z., Zhang, J., Lei, Z., et al. (2024). Designing low-carbon fly ash based geopolymer with red mud and blast furnace slag wastes: Performance, microstructure and mechanism. Journal of Environmental Management (SCI-Top Tier).
  2. Li, Z., Lei, Z., Jiang, X., et al. (2023). Ternary cementless composite based on red mud, ultra-fine fly ash, and GGBS: Synergistic utilization and geopolymerization mechanism. Case Studies in Construction Materials (SCI).
  3. Li, Z., Gao, X., Lu, D., et al. (2022). Early hydration properties and reaction kinetics of multi-composite cement pastes with supplementary cementitious materials. Thermochimica Acta (SCI-2nd Tier).
  4. Li, Z., Lu, D., Gao, X. (2021). Optimization of mixture proportions by statistical experimental design using response surface method: A review. Journal of Building Engineering (SCI-Top Tier).
  5. Li, Z., Gao, X., Lu, D. (2021). Correlation analysis and statistical assessment of early hydration characteristics and compressive strength for multi-composite cement paste. Construction and Building Materials (SCI-Top Tier).

 

Prof Fariba Dehghani | Surface modification | Excellence in Research

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Prof Fariba Dehghani | Surface modification | Excellence in Research

Schol of Chemical and Biomolecular Engineering at The University of Sydney,Australia

Professor Fariba Dehghani is a distinguished academic leader in bioengineering, with over two decades of experience in chemical and biomolecular engineering. She is currently a Professor and Director of the Bioengineering Laboratory at the University of Sydney. Her expertise spans biomedical engineering, nanotechnology, and sustainable food processing. With an impressive track record of innovation and mentorship, she has significantly contributed to both scientific research and industrial applications, including over 20 patents and commercialized technologies.

Publication Profile

Google Scholar

Education 🎓

Professor Dehghani holds a Ph.D. in Chemical Engineering from the University of New South Wales (UNSW), completed in 1997. She also obtained a Master’s and Bachelor’s degree in Chemical Engineering from Shiraz University, where she was an award-winning graduate.

Professional Experience đź’Ľ

Throughout her career, Professor Dehghani has held prestigious positions. She was Director of the Centre for Advanced Food Engineering (2017-2021) and has served as Associate Dean of Education in the Faculty of Engineering at the University of Sydney. She also led ARC Food Processing Training Centre from 2014 to 2018. She has worked extensively in both academia and industry, collaborating with key partners to drive research commercialization.

Research Interests 🔬

Her research interests focus on bioengineering, including biomaterials, tissue engineering, and biodegradable medical devices. She is particularly interested in developing new technologies for bone regeneration, medical implants, and sustainable food processing. Her work integrates engineering with biotechnology to address global health challenges, such as improving the biocompatibility of cardiovascular devices and advancing food security.

Awards and Honors 🏅

Professor Dehghani’s outstanding contributions have earned her multiple awards, including the 2020 University of Sydney Vice Chancellor Award for Outstanding Research Engagement and Innovation. She also received the 2019 UNSW Alumni Award of Excellence in Engineering and Engineers Australia’s Award of Excellence in 2017. Her work has been recognized internationally, including as one of the top engineers for innovation by Engineers Australia.

Achievements 🌟

Professor Dehghani has over 300 publications, including papers in top journals like PNAS, ACS Nano, and Biomaterials. Her work has garnered more than 13,500 citations. In addition to her academic accomplishments, she has co-invented over 20 patents, many of which have been sublicensed to companies in the medical and food sectors. Her research has led to the establishment of successful startups like Tetratherix Pty Ltd and SDIP Innovation.

Upcoming Projects đź”®

Looking ahead, Professor Dehghani is leading several projects focused on advancing food safety, bioengineering innovations, and sustainable materials. Her ongoing projects include developing portable biosensors for detecting viral contamination in food, a biosensor for early food spoilage detection, and new materials for personalized pulmonary valved conduits in heart disease treatment.

Publication Top Notesđź“–

  • Calder D, Fathi A, Oveissi F, Maleknia S, Abrams T, Wang Y, Maitz J, Hung-Yueh Tsai K, Maitz P, Chrzanowski W, Canoy I, Menon VA, Lee K, Ahern BJ, Lean NE, Silva DM, Young PM, Traini D, Ong HX, Seyed Mahmoud R, Montazerian H, Khademhosseini A, Dehghani F (2022). Thermo-responsive and injectable hydrogel for tissue agnostic regeneration. Advanced Healthcare Materials, 2201714. (Impact Factor: 10)
  • Manavitehrani I, Le TYL, Daly S, Wang Y, Maitz PK, Schindeler A, Dehghani F (2018). Formation of porous biodegradable scaffolds based on poly(propylene carbonate) using gas foaming technology. Materials Science and Engineering: C, 96, 824-830. (Impact Factor: 8.4)
  • Manavitherani I, Fathi A, Wang Y, Maitz P, Mirmohseni F, Cheng T, Peacock L, Little D, Schindeler A, Dehghani F (2017). Fabrication of a biodegradable implant with tunable characteristics for bone regeneration application. Biomacromolecules, 18(6), 1736-1746. (Impact Factor: 6)
  • Zhong, X. & Dehghani, F (2012). Fabrication of biomimetic poly(propylene carbonate) scaffolds by using carbon dioxide as a solvent, monomer, and foaming agent. Green Chemistry, 14(9), 2523-2533. (Impact Factor: 11.3)

 

Mr Dharmendra Bhargava | Esophageal cancer and Inflammation | Best Paper Award

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Mr Dharmendra Bhargava | Esophageal cancer and Inflammation | Best Paper Award

Senior research Investigator at University of Pennsylvania,United States

Dr. Dharmendra Kumar Bhargava is a Senior Research Investigator at the University of Pennsylvania, specializing in cancer biology, immunology, and molecular medicine. He focuses on understanding the cytoprotective mechanisms in esophageal squamous epithelial cells and their role in cancer progression, particularly the impact of smoking and alcohol. With extensive experience in translational cancer research, he has made significant contributions in areas like tissue repair, cancer metastasis, and immune modulation. His work is guided by a passion for identifying novel therapeutic targets to improve patient outcomes in cancer therapy.
đź“Ť Current Role: Senior Research Investigator, University of Pennsylvania (since 2023)

Publication Profile

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Scopus

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Education🎓

  • PhD in Life Sciences, Institute of Life Sciences, India (2016). Dissertation: Crosstalk of Estrogen Receptor and Estrogen Receptor-Related Receptor Family Members in Breast Cancer.
  • MSc in Biotechnology, Calicut University, India (2006).
  • BSc in Zoology, Botany, and Chemistry, BSA College, Dr. B.R.A. University, India (2004).
    Research Focus: Breast cancer, estrogen receptors, molecular pathways in cancer.

Professional Experienceđź’Ľ

  • Senior Research Investigator, University of Pennsylvania (2023-Present): Leading research projects focused on the KLF5-p53 axis, wound healing, and immune modulation in cancer and inflammation.
  • Postdoctoral Researcher, University of Pennsylvania (2019-2023): Investigated cytoprotective pathways in esophageal squamous epithelial cells.
  • Postdoctoral Researcher, Baruch S. Blumberg Institute (2019): Developed a prostate cancer prognostic kit using NanoString technology.
  • Researcher, University of Iowa (2017-2019): Studied WDR26’s role in breast tumor growth and lung metastasis.
  • Researcher, University of Houston (2016-2017): Explored GPR110’s involvement in cancer stem cells and HER2-resistant breast cancer.
    Expertise: Cancer research, immunology, tissue repair, drug resistance mechanisms.

Research Interests🔬

Dr. Bhargava’s research spans molecular oncology, immunology, and cellular biology. His work focuses on understanding how cellular pathways, such as the KLF5-p53 axis, regulate cell survival and tissue repair in the context of cancer. He also investigates how these pathways influence immune cell functions and their potential as therapeutic targets for cancer treatment and inflammation.
Key Areas: Cancer biology, molecular signaling, tissue regeneration, immunomodulation.

Awards and Honors🏆

  • Best Poster Presentation, Department of Pharmacology, University of Iowa (2018).
  • National Eligibility Test (NET), Qualified for Lectureship, CSIR-UGC (2006, 2007, 2008).
  • GATE (Graduate Aptitude Test in Engineering), All India Rank 335 (2006) and 261 (2007). Recognition: Awarded for scientific excellence and contributions to pharmacology and cancer research.

Achievements🎯

Dr. Bhargava’s work has led to significant advancements in understanding cancer metastasis and immune responses in inflammatory diseases. His role as a reviewer for prestigious journals such as BMC Cancer and Cellular Signaling highlights his influence in the scientific community. He is also involved in grant reviews and serves as an editor for several scientific journals. Impact: Contributed to scientific knowledge in cancer prognosis, therapeutic development, and immunotherapy.

Upcoming Projects🚀

Dr. Bhargava is currently engaged in several innovative research projects, including exploring the role of KLF5 in extracellular matrix remodeling and its potential as a therapeutic target for wound healing and cancer. He is also investigating the modulation of immune responses in inflammatory conditions, focusing on KLF5’s impact on cytokine production and immune cell signaling. Future Focus: KLF5-targeted therapies, cancer immunotherapy, molecular mechanisms in wound healing.

Publicationsđź“š

  1. Bhargava, D.; Rusakow, D.; Zheng, W.; Awad, S.; Katz, J.P.
    KLF5 inhibition initiates epithelial-mesenchymal transition in non-transformed human squamous epithelial cells.
    BBA-Molecular Cell Research, 2024
  2. Jiao, X.; Di Sante, G.; Casimiro, M.; Tantos, A.; Ashton, A.; Li, Z.; Quach, Y.; Bhargava, D.; DiRocco, A.; et al.
    A cyclin D1 intrinsically disordered domain accesses modified histone motifs to govern gene transcription.
    Oncogenesis, 2024;
  3. Dutta, A.; Bhagat, S.; Paul, S.; Katz, J.P.; Sengupta, D.; Bhargava, D.
    Neutrophils in Cancer and Potential Therapeutic Strategies Using Neutrophil-Derived Exosomes.
    Vaccines (Basel), 2023
  4. Yang, Y.; Bhargava, D.; Chen, X.; Zhou, T.; Dursuk, G.; Jiang, W.; Wang, J.; Zong, Z.; Katz, S.I.; Lomberk, G.A.; Urrutia, R.A.; Katz, J.P.
    KLF5 and p53 comprise an incoherent feed-forward loop directing cell-fate decisions following stress.
    Cell Death Dis., 2023
  5. Bhat, R.R.; Yadav, P.; Sahay, D.; Bhargava, D.K.; Creighton, C.J.; Yazdanfard, S.; Al-Rawi, A.; Yadav, V.; Qin, L.; Nanda, S.; Sethunath, V.; Fu, X.; De Angelis, C.; Narkar, V.A.; Osborne, C.K.; Schiff, R.; Trivedi, M.V.
    GPCRs profiling and identification of GPR110 as a potential new target in HER2+ breast cancer.
    Breast Cancer Res Treat., 2018
  6. Sengupta, D.; Bhargava, D.K.; Dixit, A.; Sahoo, B.S.; Biswas, S.; Biswas, G.; Mishra, S.K.
    ERRβ signalling through FST and BCAS2 inhibits cellular proliferation in breast cancer cells.
    Br J Cancer, 2014
  7. Mishra, S.K.; Sengupta, D.; Sar, P.; Bhargava, D.K.
    Molecular Basis of Aging and Breast Cancer.
    J Cancer Sci Ther, 2013;
  8. Mishra, S.K.; Kanchan, K.; Bhargava, D.K.
    A Review on EZH2 and its Epigenetic Association with Breast Cancer.
    Journal of Cancer Research Updates, 2012;
  9. Sar, P.; Bhargava, D.K.; Sengupta, D.; Rath, B.; Chaudhary, S.; et al.
    In Human Breast Cancer Cells TRβ Competes with ERα for Altering BCl2/Bax Ratio through SMP30-Mediated p53 Induction.
    J Cancer Sci Ther, 2012;

Mr Zeyu Yang | AI | Best Researcher Award

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Mr Zeyu Yang | AI | Best Researcher Award

Master’s Degree at Hunan university,China

Yang Zeyu is a highly motivated and accomplished master’s student from Hunan University, with a bachelor’s degree in Network Engineering from Guilin University of Technology. He has demonstrated expertise in network engineering, data analysis, and cybersecurity, coupled with strong research and project management skills. A dedicated Communist Party member, Yang has excelled academically and has actively participated in various technical projects, competitions, and internships. His ability to adapt and learn new technologies, such as blockchain and big data, has contributed to his successful achievements in both academic and professional domains.

Publication Profile

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Education 🎓

Yang Zeyu completed his Bachelor’s degree in Network Engineering at Guilin University of Technology from September 2020 to June 2024, where he achieved an impressive GPA of 3.4/4 and ranked 3rd out of 75 students in his cohort. His coursework included advanced subjects such as Python Programming, Network Application Development, Big Data Analysis, and Algorithm Design, all of which contributed to his technical prowess. He has received several academic honors, including First-Class Scholarships (2023), Second-Class Scholarships (2022), and Third-Class Scholarships (2021).

Professional Experience đź’Ľ

  • Network Application System Development Internship (Oct-Nov 2022): He worked on both front-end and back-end development, optimizing website performance and ensuring smooth project delivery.
  • Big Data Application Internship (May-Jun 2023): He used Hadoop and Hive to clean and analyze large datasets, applying key insights to real-world scenarios.
  • Network Security Internship (Jun-Jul 2023): Yang contributed to a network security project, where he successfully simulated and implemented firewall and IPS policies to protect against external cyber threats.

Research Interests 🧠

Yang is particularly interested in data science, blockchain technologies, and cybersecurity. His academic work includes integrating ensemble empirical mode decomposition (EEMD) with deep learning for predictive modeling in the agricultural sector. He is also exploring the use of blockchain for data security and asset management, with a focus on smart contract development and its practical applications.

Awards and Honors 🏅

Throughout his academic career, Yang has been recognized for his excellence both in and out of the classroom:

  • 3rd Class Scholarship (2021)
  • 2nd Class Scholarship (2022)
  • 1st Class Scholarship (2023)
  • Awarded the “Three Good Student” title
  • Recognized as an “Outstanding Individual” in social work and university innovation projects.

Upcoming Projects 🔧

Yang is currently working on several projects that explore blockchain applications in data security and asset management, as well as big data solutions for network optimization. He plans to collaborate with industry leaders to deploy these solutions in real-world settings, enhancing his hands-on skills in the process.

Skills & Certifications 🛠️

  • Programming Languages: Python, Java, SQL
  • Tools: Hadoop, Hive, Blockchain Development, Data Analysis
  • Certifications:
    • C1 Driver’s License
    • Mandarin Proficiency Test (Level 2B)
  • English Skills:
    • CET-4: 516
    • CET-6: 479
    • Proficient in reading, writing, listening, and speaking English, with the ability to quickly review professional literature.

Achievements 🏆

Yang’s dedication to research is evident from his work in computer vision and predictive modeling:

  • 2022 – 4th Guangxi University Student Computer Design Competition: Yang won 3rd Prize for his development of an agricultural price prediction model combining EEMD and deep learning.
  • 2022 – Patent: He published a new type of practical patent in computer vision occlusion, which enhances information retrieval and research writing capabilities.
  • 2023 – Network Technology Challenge South China Region: Yang won 3rd Prize after creating a blockchain-based asset management platform.

Publications đź“š

  1. “Agricultural Price Prediction Using EEMD and Deep Learning”, published in International Journal of Computer Science & Engineering, 2022. (Cited by 15+ articles)
  2. “Blockchain Technology for Data Security in Asset Management Systems”, published in Journal of Blockchain and Data Security, 2023. (Cited by 20+ articles)

 

 

Dr Dinesh Singh | Plant Pathology | Best Researcher Award

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Dr Dinesh Singh | Plant Pathology | Best Researcher Award

Head & Principal Scientist at ICAR- Indian Institue of Sugarcane Research, Lucknow,India

Dr. Dinesh Singh is an accomplished plant pathologist specializing in post-harvest diseases of fruits and vegetables. His extensive research addresses various agricultural challenges, including bacterial diseases, disease management strategies, and the development of molecular markers for plant protection. His expertise spans the use of physical, chemical, and biological control methods to reduce post-harvest losses in crops like Kinnow, peach, pear, apple, strawberry, and sugarcane. Dr. Singh is deeply engaged in research related to bacterial wilt, black rot, and citrus canker, using advanced techniques such as molecular characterization, microbial antagonism, and genetic resistance.

Profile

Scopus

🎓 Education

Dr. Singh holds advanced degrees in Plant Pathology, with a deep academic foundation in microbiology and plant disease management. His education equips him with a solid understanding of molecular biology and microbial ecology, which he applies to both research and practical solutions in plant health management.

🔬 Professional Experience

Dr. Singh has years of experience in academia, industry, and research institutions, with a focus on post-harvest disease management. He has successfully implemented numerous experiments aimed at improving harvesting techniques, storage conditions, and disease resistance in key fruit and vegetable crops. His research contributions have been pivotal in advancing plant disease diagnostics, bioagent applications, and sustainable agricultural practices.

🧑‍🔬 Research Interests

  • Post-harvest disease management in fruits and vegetables
  • Bacterial diseases, especially black rot of crucifers and citrus canker
  • Development of molecular markers for disease diagnostics
  • Application of bioagents, fungicides, and physical treatments for disease control
  • Microbial ecology and genetic diversity in plant pathogens
  • Climate change and its impact on plant-disease interactions

🏅 Awards and Honors

Dr. Singh has received numerous accolades throughout his career, including:

  • SPPS Fellow (2007) from the Society of Plant Protection Sciences, New Delhi
  • Dr. M. M. Alam Medal (2008) from Bioved Research & Communication Centre
  • Young Scientist Associate Award (2010)
  • Fellow of Indian Phytopathological Society (FIPS)
  • Reviewer Excellence Award (2016)
  • Distinguished Scientist in Plant Pathology Award (2017)
  • Bioved Fellowship Award (2019)
  • NESA Green Technology Innovative Award (2020)
  • Best Scientist Award (2020) from NABS

🏆 Achievements

Dr. Singh has published over 30 peer-reviewed papers, presented numerous conference papers, and has contributed to several advancements in molecular diagnostics for plant diseases. He is recognized globally for his work in plant disease management, especially his efforts in developing rapid detection protocols and biocontrol methods. His research on the bacterial wilt of tomatoes and the genetic variability of Xanthomonas campestris is particularly notable.

đź“… Upcoming Projects

Dr. Singh is currently involved in research to develop sustainable plant health management strategies under climate change scenarios. He is also exploring the role of AI and machine learning in diagnosing plant diseases. His upcoming projects include improving the resilience of crops to bacterial and fungal infections using integrated pest management strategies.

đź“š Publications

Dr. Singh has authored numerous influential research papers in top-tier journals. Below are some notable publications:

  1. Singh, D., et al. (2012). Utilization of plant growth promoting Bacillus subtilis isolates for the management of bacterial wilt in tomato caused by Ralstonia solanacearum. Indian Phytopathology, 65(1): 18-24.
    • Cited by: 50+ articles in related research on microbial biocontrol and plant disease management.
  2. Rathour, P. S., Singh, D., & Raghuwanshi, R. (2016). Characterization and genetic diversity of Xanthomonas campestris pv. campestris causing black rot disease in crucifers in North India. Indian Phytopathology, 69(2): 114-118.
    • Cited by: 70+ articles in studies related to bacterial genetics and plant pathogen variability.
  3. Gajanan, A. G., Rudra, S., Kaur, C., Singh, D., & Yadav, R. K. (2016). Effect of basil oil-based nanoemulsion coating on postharvest diseases of okra. Indian Phytopathological Society Conference Proceedings.
    • Cited by: 20+ articles in post-harvest disease management and nano-biotechnology.
  4. Singh, D., Chaudhary, G., & Yadav, D. K. (2017). Induction of defense-related enzymes in tomato cultivars by Bacillus amyloliquefaciens DSBA-11 against bacterial wilt. Journal of Applied Microbiology, 123(5): 1234-1245.
    • Cited by: 45+ articles on plant pathogen interactions and biocontrol methods.
  5. Kiran, R., Kandan, R., Kumar, P., Singh, D., Akhtar, J., & Dubey, S. C. (2017). Development of a rapid diagnostic protocol for detection of Xanthomonas campestris pv. campestris causing black rot of crucifers using specific primers from rpf gene sequences. Journal of Microbiological Methods, 143: 79-85.
    • Cited by: 30+ articles in plant disease diagnostics.
  6. Chaudhary, G., Tomar, S., & Singh, D. (2018). Biodegradation of pesticides using Pseudomonas fluorescens DTPF-3. Microbial Biotechnology, 11(2): 341-349.
    • Cited by: 25+ articles on microbial bioremediation.

 

 

Assist Prof Dr Jaya Singh Dhas L | Data Science | Best Researcher Award | 1229

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Assist Prof Dr Jaya Singh Dhas L | Data Science | Best Researcher Award

Head of the Department at Scott Christian College (Autonomous),India

Dr. L. Jaya Singh Dhas is the Head of the Department of Computer Science at Scott Christian College (Autonomous), Nagercoil, Tamil Nadu, India. With over two decades of experience in academia, Dr. Dhas is a distinguished researcher and educator, specializing in areas like Artificial Intelligence, Machine Learning, Data Mining, and Cloud Computing. His work combines theoretical research with practical applications, particularly in the fields of clustering techniques, heart disease prediction, and network security. Dr. Dhas has contributed significantly to the academic community through his research publications, conference participation, and various professional development activities.

Profile

Scopus

Education 🎓

  • Ph.D. in Computer Science – Bharathidasan University, Tiruchirappalli (2022), First Class
  • M.Phil. in Computer Science – Alagappa University, Karaikudi (1998), First Class
  • M.C.A. (Master of Computer Applications) – Bharathidasan University, Tiruchirappalli (1996), First Class
  • B.Sc. in Computer Science – Madurai Kamaraj University, Madurai (1991), First Class

Dr. Dhas’ academic qualifications reflect his deep commitment to the field of computer science and his expertise in both foundational and advanced topics within the discipline.

Professional Experience đź’Ľ

Dr. Dhas joined Scott Christian College (Autonomous) in 1998, where he has served as the Head of the Department of Computer Science since then. With more than 20 years of teaching and leadership experience, Dr. Dhas has significantly influenced the department’s curriculum and research direction. He is dedicated to fostering academic growth and promoting innovative research among students and faculty.

Research Interests 🔬

Dr. Dhas’ primary research interests lie in Artificial Intelligence, Data Science, Clustering Techniques, Big Data Analytics, and Network Security. He has worked extensively on the following areas:

  • Clustering Techniques: Investigating different clustering algorithms for analyzing temporal relational data.
  • Heart Disease Prediction: Using machine learning techniques for early-stage heart disease prediction.
  • Network Intrusion Detection: Optimizing deep learning approaches for network security.
  • Big Data: Exploring synergetic filtering and neural network techniques for handling large datasets.

Awards & Honors 🏆

Dr. Dhas has received multiple recognitions for his outstanding contributions in research and education, including:

  • Indian Patent (2022) for “Monitoring E-Health Care System Using Artificial Intelligence Techniques”.
  • Member of the Internet Society and International Association of Engineers (IAENG), further reflecting his international recognition in the field.
  • Reviewer for several renowned journals, including International Journal of Information Technology and Decision Making (IJITDM) and Journal of Scientific Research and Reports (JSRR).

Achievements 🌟

  • Successfully published numerous papers in high-impact journals such as Expert Systems With Applications (Elsevier), International Journal of Engineering and Advanced Technology (IJEAT), and Indian Journal of Natural Sciences (IJONS).
  • Served as a reviewer for several prestigious international journals and conferences, contributing to the academic community’s growth.
  • Authored multiple book chapters in edited volumes on topics like data clustering and artificial intelligence, further establishing his expertise.

Upcoming Projects 🚀

  • Dr. Dhas is currently engaged in projects related to AI-driven healthcare systems, particularly focusing on AI in early disease detection.
  • He is also exploring the use of neural networks and big data analytics to tackle contemporary challenges in network security and data privacy.

Publications đź“š

  1. “Hybrid Fast Correlation-based Feature Selection with Improved Weighed Particle Swarm Optimization to Predict and Classify Heart Disease at an Early Stage”, Indian Journal of Natural Sciences (IJONS), Vol. 15, Issue 85, August 2024, Pages 76542 – 76550.
  2. “Network Intrusion Detection: An Optimized Deep Learning Approach Using Big Data Analytics”, Expert Systems With Applications, Elsevier, Volume 251, 1 October 2024, 123919.
  3. “Kulczynski Similarity Index Feature Selection based Map Estimated Rocchio Classification for Brain Tumor Disease Diagnosis”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), December 2023.
  4. “Identification of Clustering Techniques with Temporal Relational Data Points”, International Journal of Interdisciplinary Global Studies (IJIGS), Volume 14, Issue 04, Oct-Dec’ 2020.
  5. “Efficient Synergetic Filtering in Big Dataset using Neural Network Technique”, International Journal of Recent Technology and Engineering (IJRTE), Volume 8, Issue 5, January 2020, Pages 1349 – 1360.

 

 

Dr Maatouk Khoukhi | Bio materials | Best Researcher Award | 1227

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Dr Maatouk Khoukhi | Bio materials | Best Researcher Award

Associate Professor at UAE University,United Arab Emirates

Maatouk Khoukhi is an Associate Professor at the United Arab Emirates University (UAEU), specializing in Machine Intelligence and System Engineering. With over 25 years of experience in teaching and research, he has worked in institutions across seven countries, including Algeria, France, Japan, Australia, Saudi Arabia, Oman, and the UAE. His extensive expertise lies in the areas of energy sustainability, smart buildings, and cities, with a particular focus on renewable energy systems and energy-efficient building technologies. His research has garnered more than 2.5 million USD in funding, and he has published over 100 scholarly papers in high-impact journals.

Profile

Scopus

Orcid

Education

Dr. Khoukhi earned his Ph.D. in Machine Intelligence and System Engineering from Tohoku University, Japan, in 2005. He also holds a BSc in Energy Engineering from the University of Boumerdes, Algeria.

Professional Experience

Dr. Khoukhi currently serves as an Associate Professor at UAEU since 2017. He has held prominent academic roles at Sultan Qaboos University (Oman), King Fahd University of Petroleum and Minerals (Saudi Arabia), and Tohoku University (Japan), among others. He has been a visiting faculty member at the University of Sydney and the University of Sharjah.

Research Interests

Dr. Khoukhi’s research interests encompass:

  • Energy and sustainability 🌍
  • Smart buildings and cities 🏙️
  • Low energy buildings 🏡
  • Sustainable architecture and built environment 🏗️
  • Renewable energy systems 🌞
  • Building energy performance simulation 🧮

He has collaborated with global entities like Samsung, NEDO, and various universities, focusing on innovations such as bio-based materials for building insulation and energy-efficient systems for hot climates.

Awards & Honors

Dr. Khoukhi has received numerous awards throughout his career, including:

  • Recognition of Inventors with Patents, UAE University (2023) 🏆
  • Research Excellence Awards for publishing in top 10% journals at UAEU (2020–2022) đź“š
  • NEDO Grant for Solar Desiccant Cooling Research (2005-2006) 🌞
  • Monbushu Ph.D. Scholarship, Ministry of Education, Japan (2001) 🎓

Research Achievements

Dr. Khoukhi’s research has led to key contributions in the fields of energy efficiency, renewable energy, and sustainable building technologies. He has been involved in several high-impact projects, securing grants exceeding 2.5 million USD. His work includes the development of new bio-based insulation materials, solar energy-based cooling systems, and energy-efficient building designs for hot climates.

Upcoming Projects

  • Bio-Based Purification Materials (2023-2026): Exploring waste puffed rice for sustainable construction materials.
  • Rice-Based Disposable Liquid Containers (2022-2026): Innovative packaging solutions.
  • Higher-Order Thinking Skills Development (2023-2026): Project focused on enhancing critical thinking through academic research.

Top Publications

  • “Enhancing Green Building Technologies and Solutions in UAE University Campus”, Buildings, 2024 🌿
  • “Investigating Material Properties of Hemp Fiber and Puffed Rice for Heritage Conservation”, Heritage Science, 2023 🏺
  • “Potential of Form-Pocketed Design in Mitigating Heat in a University Educational Building in UAE”, Energy and Buildings, 2023 🏫
  • “A New Method for Capturing CO2 Using Rice-Based Product”, Energies, 2022 🌾
  • “Thermal Performance of a New Bio-Based Insulation Material”, Construction and Building Materials, 2022 🏗️

 

Dr Rimsha Qurrat-ul-ain | Chemistry | Best Researcher Award

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Dr Rimsha Qurrat-ul-ain | Chemistry | Best Researcher Award

PhD student at Korea national university of transportation , South Korea

Rimsha Quratulain is a dedicated and passionate chemist with a strong foundation in the study, analysis, and research of chemistry. Holding a Master of Philosophy (M.Phil.) in Chemistry from the esteemed Government College University Lahore, Rimsha has excelled academically with a CGPA of 3.68. Her research interests span several branches of chemistry, including Inorganic Chemistry, Organic Chemistry, Physical Chemistry, Biochemistry, and Analytical Chemistry. Her career goal is to join a progressive institution where she can utilize her knowledge and skills, while making significant contributions to the research community.

Profile

Scopus

Education and Training 🎓

Rimsha’s academic journey has been marked by outstanding performance. She completed her M.Phil. in Chemistry at Government College University Lahore in 2023, with a focus on Schiff base metal complexes as antimicrobial agents. She also earned her B.S. in Chemistry from University of the Punjab in 2020, gaining a comprehensive understanding of various chemistry disciplines, including Biochemistry, Environmental Chemistry, and Applied Chemistry.

Master of Philosophy (M.Phil.) in Chemistry

  • Institution: Government College University Lahore
  • Dates: 12/10/2021 – 15/09/2023
  • CGPA: 3.68
  • Thesis: “Thiosemicarbazide, 1,3, 4 thiadizole Schiff base derivatives of transition metal complexes as antimicrobial agents”
  • Projects: “Synthesis, characterization, and biological screening of semicarbazide derivatives of Schiff base metal complexes”

Bachelor of Science (B.S.) in Chemistry

  • Institution: University of the Punjab
  • Dates: 24/10/2016 – 19/10/2020
  • CGPA: 3.53
  • Focus Areas: Inorganic Chemistry, Organic Chemistry, Biochemistry, Environmental Chemistry

Professional Experience 🏢

Rimsha is currently a Senior Lecturer in Chemistry at Superior College Lahore, where she lectures, mentors students, and manages various educational responsibilities. Additionally, she served as a University Research Assistant at Government College University Lahore, where she contributed to research projects, laboratory work, and the publication of scholarly articles.

  • Senior Lecturer (Chemistry)
    • Institution: Superior College Lahore
    • Dates: Ongoing
    • Key Responsibilities: Lecturing, student counseling, research management
  • University Research Assistant
    • Institution: Government College University Lahore
    • Dates: Ongoing
    • Key Responsibilities: Research project management, lab work, article publications

Communication and Interpersonal Skills 🗣️

Rimsha excels in public speaking, team collaboration, and problem-solving. Her organizational skills and leadership qualities enable her to manage multiple tasks and lead projects effectively. She also provides career counseling and student mentorship, helping guide future scientists toward success.

Awards and Honors 🏆

Rimsha’s hard work and dedication have earned her several honors and accolades, including:

  • Achievement Award for outstanding performance in leadership and communication skills development
  • Prime Minister’s Laptop Scheme awardee
  • Scholarship recipient through the Benevolent Program
  • Active involvement in extracurricular activities such as chemistry societies and conferences

Upcoming Projects 🚀

Rimsha is currently working on several promising research projects in the field of biochemistry and environmental chemistry. Her future work will continue to explore the biological activity of new Schiff base metal complexes and their potential applications in drug synthesis and environmental sustainability.

Publicationđź“ť

  • Author: Rimsha Quratulain
    Title: Thiosemicarbazide, 1,3, 4 thiadizole Schiff base derivatives of transition metal complexes as antimicrobial agents
    Journal: Inorganic Chemistry Communication Journal
    Year: 2023
  • Author: Rimsha Quratulain
    Title: Synthetic Methodologies and Biological Investigation of Sulfonamide-Based Schiff Base Ligands and Metal Complexes
    Journal: Manuscript
    Year: 2023

 

 

Prof Dr Wolfgang Karl Härdle | Statistic | Excellence Award

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Prof Dr Wolfgang Karl Härdle | Statistik | Excellence Award

Ladislaus von Bortkiewicz Professor of Statistics at Humboldt-Universität zu Berlin,Germany

Wolfgang Karl Härdle is a distinguished professor of Statistics at Humboldt-Universität zu Berlin. His career spans over four decades, with a focus on econometrics, financial statistics, nonparametric statistics, and machine learning. With numerous awards, honors, and editorial roles, Härdle has had a significant impact on both academia and the application of statistical methods in various fields. He is widely regarded as one of the leading statisticians in his domain, with an extensive publication record and a large number of citations.

Publication Profile

Google Scholar

Orcid

Scopus

Education 🎓

  • 1988: Habilitation in Statistics & Econometrics, Universität Bonn
  • 1982: Dr. rer. nat. in Mathematics, Universität Heidelberg
  • 1978: Diploma in Mathematics, Universität Karlsruhe
  • 1972: Abitur, Goethe-Gymnasium Gaggenau

Professional Experience đź’Ľ

  • 1992–present: Professor of Statistics, Humboldt-Universität zu Berlin
  • 1990–1992: Professeur Ordinaire, CORE, UniversitĂ© Catholique de Louvain
  • 1988–1989: Privatdozent, Universität Bonn
  • 1985–1988: Wissenschaftlicher Mitarbeiter, Universität Bonn
  • 1983–1985: Wissenschaftlicher Mitarbeiter, Universität Frankfurt
  • 1978–1983: Wissenschaftlicher Mitarbeiter, Universität Heidelberg

Research Interests 🔍

Wolfgang Härdle’s research covers a wide array of topics, with a particular emphasis on statistical modeling, econometrics, time series analysis, and machine learning. He is known for his work in high-dimensional statistical methods, nonparametric regression, volatility modeling, and financial econometrics. His recent research delves into digital finance, AI ethics, and the integration of machine learning into economic decision-making.

Awards and Honors 🏆

  • 2023-2024: Adjunct Senior Research Fellow, ACI, National University Singapore
  • 2022: Ranked #4 in Mathematics by Research.com
  • 2022: Most Cited Researcher at Humboldt-Universität zu Berlin
  • 2021-2024: YuShan Scholar, NYCU Hsinchu, Taiwan
  • 2018: Guest Professor, Sun Yat-Sen University, Guangzhou, China
  • 2017: Charter Fellow, INDI Institute of Nonlinear Dynamics, Moscow
  • 2016–2023: Foreign Expert Professor, Xiamen University, China
  • 2009: Advisor to the Master Program in Financial Statistics & Risk Management at Rutgers University
  • 2003–2014: “Highly Cited Scientist” at Humboldt University Berlin

Achievements 🏅

Wolfgang Härdle has been a key figure in the development of statistical methods for financial markets, particularly in the areas of risk management, econometrics, and machine learning. He is an influential contributor to journals, conferences, and edited volumes. His groundbreaking work has shaped contemporary approaches to data analysis in high-dimensional systems. As a mentor, he has supervised over 30 Ph.D. students, many of whom have gone on to hold prominent positions in academia and industry.

Upcoming Projects 🚀

  • 2024: Organizing the 4th Yushan Workshop on AI@(Ethics, Security, Finance) at NYCU, Taiwan
  • 2023: Leading research projects on Machine Learning in Finance and Management in Berlin
  • Ongoing: Collaborative efforts in developing new machine learning algorithms for high-dimensional data and their applications in economics and finance

Publications Top Notesđź“š

Wolfgang Härdle has published extensively in peer-reviewed journals. Below is a summary of some of his top publications:

  1. Härdle, W., & MĂĽller, M. (2009). “Time Varying Adaptive Copulae.” Journal of Financial Econometrics.
    Cited by: 215+ articles
  2. Härdle, W., & Yatchew, A. (2013). “Computational Econometrics: An Introduction to Statistical Methods for Econometrics.” Springer-Verlag.
    Cited by: 150+ articles
  3. Härdle, W., & Huang, X. (2018). “The Future of Blockchain in Finance: The Digital Economy and Decision Analytics.” Journal of Machine Learning in Finance.
    Cited by: 100+ articles
  4. Härdle, W., & Proença, I. (2000). “Testing the Link Specification in Binary Choice Models.” Computational Statistics & Data Analysis.
    Cited by: 75+ articles
  5. Härdle, W., & Bianchi, M. (1995). “Time Series Modelling in the Presence of Structural Change.” Mathematical Finance Review.
    Cited by: 60+ articles
  6. Härdle, W., & Detlefsen, K. (2007). “Equity Derivatives Markets.” Journal of Financial Risk Management.
    Cited by: 85+ articles