Xichun Hu | Medicine | Best Researcher Award

Posted on by ScienceFather

Prof. Xichun Hu | Medicine | Best Researcher Award

Professor at Fudan University Shanghai Cancer Center, China

Summary:

Prof. Xichun Hu is a renowned oncologist specializing in oncology treatment. He was born on December 14, 1965, in Yancheng, Jiangsu Province, China. Prof. Hu earned his Bachelor of Medicine from Suzhou Medical College in 1988, followed by a Master of Oncology from Shanghai Medical University in 1991. He completed his Doctorate at The University of Hong Kong in 2001. His academic journey includes advanced training in hospital management and clinical trials from prestigious institutions like the Vienna School of Clinical Research and Mayo Clinic.

 

Profile:

Education:

Prof. Xichun Hu’s educational background is distinguished and extensive. He completed his Bachelor of Medicine at Suzhou Medical College from September 1983 to July 1988. He pursued further specialization in oncology by obtaining a Master of Oncology from Shanghai Medical University Graduate School between September 1988 and July 1991. Prof. Hu then advanced his expertise with a Doctorate from The University of Hong Kong, where he studied from April 1998 to November 2001. His commitment to continuous learning is evident from his participation in advanced training programs, including the Hospital Management Advanced Training Program for Middle-level Cadres at Cancer Otolaryngology Hospital in 2006, and Clinical Trials in Oncology at Vienna School of Clinical Research, Shanghai in 2006. Additionally, he underwent Clinical Trials Training at Mayo Clinic, USA, in 2007, where he was awarded the ICRE fellow by the National Foundation for Cancer Research, further showcasing his dedication to advancing his knowledge and skills in the field of oncology.

Professional Experience:

Prof. Xichun Hu’s extensive professional career in oncology spans several decades. He began as a Resident Physician at Shanghai Medical University Cancer Hospital from July 1988 to June 1994, where he honed his clinical skills. He was promoted to Attending Physician at the same institution from June 1994 to March 1998. His career progressed as he took on the role of Attending Physician at Fudan University Cancer Hospital from December 2001 to November 2002. Prof. Hu was subsequently appointed Associate Chief Physician at Fudan University Cancer Hospital, serving from November 2002 to April 2008. He also held the position of Executive Vice President at the hospital’s Minhang Branch from December 2006 to March 2008. Since April 2008, Prof. Hu has been a Chief Physician and Professor at Fudan University Cancer Hospital, where he continues to lead and innovate in oncology treatment. His roles have included Doctoral Supervisor (2012–present), Deputy Director of the Chemotherapy Department (February 2006 – December 2014), Acting Deputy Director of the Oncology Department (December 2014 – March 2016), and Executive Deputy Director of the Clinical Trial Institution (March 2016 – present). He has been the Director of the Oncology Department since June 2016, shaping the future of cancer care through his leadership and expertise.

Research Interests:

Prof. Xichun Hu’s research interests are deeply rooted in oncology, with a focus on advancing the treatment and understanding of breast cancer. His work explores various dimensions of cancer biology and therapy, including hormone receptor-positive and HER2-negative advanced breast cancer, and the heterogeneity between primary and metastatic cancer. Prof. Hu investigates the efficacy of novel treatments such as Pyrotinib plus capecitabine for trastuzumab-resistant HER2-positive breast cancer. His research also delves into immune resistance mechanisms, particularly in triple-negative breast cancer, and the role of chromatin remodeling molecules like ARID1A in metastatic heterogeneity. Additionally, he is engaged in clinical and preclinical studies of new therapies, such as the highly selective HER2 inhibitor DZD1516, and the novel anti-PD-L1 monoclonal antibody MSB2311. Prof. Hu’s research aims to improve early diagnosis, treatment strategies, and survival outcomes for breast cancer patients, particularly those with recurrent and metastatic forms of the disease.

Publications:

Prof. Hu has authored 305 papers, including key publications in top-tier SCI journals. His research covers critical areas such as hormone receptor-positive breast cancer, HER2-low breast cancer heterogeneity, and novel cancer therapies. His work, including recent publications in prestigious journals like Cancer Med and BMC Med, highlights his ongoing contributions to advancing oncology.

Conclusion:

Prof. Xichun Hu’s outstanding qualifications, numerous awards, influential professional experience, dedication to teaching, and extensive publication record collectively demonstrate his exceptional impact on the field of oncology. His continuous contributions to cancer research and patient care make him a fitting candidate for the Research for Best Researcher Award.

Publication Tob Noted:

GepLiver: an integrative liver expression atlas spanning developmental stages and liver disease phases

Journal: Scientific Data

Date: June 10, 2023

DOI: 10.1038/s41597-023-02257-1

Contributors: Ziteng Li, Hena Zhang, Qin Li, Wanjing Feng, Xiya Jia, Runye Zhou, Yi Huang, Yan Li, Zhixiang Hu, Xichun Hu, et al.

Entinostat, a class I selective histone deacetylase inhibitor, plus exemestane for Chinese patients with hormone receptor-positive advanced breast cancer: A multicenter, randomized, double-blind, placebo-controlled, phase 3 trial

Journal: Acta Pharmaceutica Sinica B

Date: May 2023

DOI: 10.1016/j.apsb.2023.02.001

Contributors: Binghe Xu, Qingyuan Zhang, Xichun Hu, Qing Li, Tao Sun, Wei Li, Quchang Ouyang, Jingfen Wang, Zhongsheng Tong, Min Yan, et al.

Clinicopathological, molecular and prognostic characteristics of cancer of unknown primary in China: An analysis of 1420 cases

Journal: Cancer Medicine

Date: January 2023

DOI: 10.1002/cam4.4973

Contributors: Peng Qi, Yifeng Sun, Xin Liu, Sheng Wu, Yixin Wo, Qinghua Xu, Qifeng Wang, Xichun Hu, Xiaoyan Zhou

Phase I Study of A166, a Novel Antibody-Drug Conjugate in Advanced HER2-expressing Solid Tumors

Type: Preprint

Date: November 1, 2022

DOI: 10.21203/rs.3.rs-2179560/v1

Contributors: Xichun Hu, Jian Zhang, Rujiao Liu, Shuiping Gao, Wenhua Li, Yang Chen, Yanchun Meng, Chang Liu, Wenyue Jin, Shuli Yi, et al.

Efficacy, Safety, and Correlative Biomarkers of Toripalimab in Previously Treated Recurrent or Metastatic Nasopharyngeal Carcinoma: A Phase II Clinical Trial (POLARIS-02)

Journal: Journal of Clinical Oncology

Date: March 1, 2021

DOI: 10.1200/JCO.20.02712

Contributors: Feng-Hua Wang, Xiao-Li Wei, Jifeng Feng, Qi Li, Nong Xu, Xi-Chun Hu, Wangjun Liao, Yi Jiang, Xiao-Yan Lin, Qing-yuan Zhang, et al.

Orlando Harker | Cybersecurity | Best Researcher Award

Posted on by ScienceFather

Prof. Orlando Harker | Cybersecurity | Best Researcher Award

Professor at Universidad Distrital Francisco José de Caldas, Colombia

Summary:

Prof. Orlando Harker is an esteemed academic and engineering professional with a diverse background in electronic engineering and education. Currently a Doctoral candidate in Engineering at Francisco José de Caldas University, his research focuses on enhancing energy generation from organic waste. Prof. Harker holds a Master’s in Teaching from Universidad de La Salle, where he investigated pedagogical strategies in teaching. He completed his undergraduate studies in Electronic Engineering at Universidad Distrital Francisco José de Caldas, where he also earned a technical degree in Pharmacy Technology. With over 15 years of experience as an engineering professor and a rich career in electronic engineering and project management, he has contributed significantly to research in biomedical instrumentation and sustainable energy technologies. Prof. Harker has also been actively involved in national and international conferences, sharing his expertise in various technological advancements.

 

Profile:

Education:

Prof. Orlando Harker is currently pursuing a Doctorate in Engineering at Francisco José de Caldas University, focusing on “Modeling and Control Strategy for Maximum Electrical Energy Generation from Organic Solid Waste,” under the supervision of Adolfo Andrés Jaramillo Matta. He earned a Master’s in Teaching from Universidad de La Salle, where he researched “Problem Solving as a Didactic Strategy: Influence on Teaching Practice,” with Paulo Emilio Oviedo as his advisor. Prof. Harker completed his undergraduate studies with a Bachelor’s degree in Electronic Engineering from Universidad Distrital Francisco José de Caldas, with a thesis titled “Blood Chemistry Analyzer,” guided by Jaime Benítez. His educational background also includes a Technical Degree in Pharmacy Technology from Corporación Tecnológica De Bogotá, where he conducted his graduation work on “Pharmacology of Malaria.”

Professional Experience:

Prof. Orlando Harker boasts a robust career spanning multiple domains within electronic engineering and education. He began his professional journey as an Electronic Engineer at BioCientífica Ltda. and Merck Colombia S.A., where he specialized in the maintenance and technical support of biomedical equipment. His career advanced as he took on roles in Reprec Ltda., focusing on power systems, and Harsan Electronics Ltda., where he served as a Project Manager overseeing industrial automation and instrumentation projects. In the academic realm, Prof. Harker has accumulated over 15 years of experience as an engineering professor, teaching subjects such as power electronics and control theory at various prestigious institutions including Universidad Distrital Francisco José de Caldas and Universidad de Cundinamarca. His extensive teaching background is complemented by his role as an IEEE advisor professor and his current pursuit of a Doctorate in Engineering, where he focuses on innovative energy solutions from organic waste.

Research Interests:

Prof. Orlando Harker’s research interests are deeply rooted in the fields of biomedical instrumentation, energy systems, and educational technology. His pioneering work includes the development of a tactile and visual sound discriminating device for the hearing and visually impaired, and the creation of a miofeedback system for muscle signal processing. Currently, his research focuses on innovative methods for generating clean energy from organic waste. This project involves designing and implementing a biodigester system to convert organic waste into biogas, aiming to enhance sustainable energy solutions and environmental management. Prof. Harker’s research endeavors are characterized by a commitment to practical applications and technological advancements, reflecting his dedication to addressing both academic and real-world challenges.

Research Funding and Grants:

Prof. Harker has executed and co-financed four technological application research projects, with funding from notable entities such as UMB-Colciencias and UD-Minciencias. This indicates recognition and support for his research endeavors.

Innovation and Impact:

His projects, like the energy generation system from organic waste, demonstrate practical applications of his research and have the potential to impact environmental sustainability.

Mentorship and Advisory Roles:

As an IEEE advisor professor and a candidate for a Doctor of Engineering with emphasis in Electrical and Electronics, Prof. Harker has contributed to both academic and professional communities through mentorship and advisory roles.

Conclusion:

Prof. Orlando Harker’s extensive experience, significant research contributions, active participation in the academic community, and practical impact through innovative projects make him a highly suitable candidate for the Research for Best Researcher Award. His work in biomedical instrumentation and energy generation, coupled with his academic and professional achievements, highlights his dedication and impact in his field.

Publication Tob Noted:

Method to obtain parameters k2, k3 for dilution rate observer in AM2 model of the anaerobic digestion process in a batch reactor

  • Journal: Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
  • Year: 2024
  • Authors: O. Harker-Sanchez, A.A. Jaramillo, D.M. Arias

La resolución de problemas como estrategia didáctica: implicaciones para la práctica docente universitaria. Una investigación con el docente y estudiantes de Electrónica de …

  • Institution: Universidad de La Salle. Facultad Ciencias de la Educación. Maestría en Docencia
  • Year: 2011
  • Authors: O. Harker Sánchez, C.H. Montúfar Benavides

Henrique Santos | Supply Chain Security | Best Researcher Award

Posted on by ScienceFather

Prof. Henrique Santos | Supply Chain Security | Best Researcher Award

Associate Professor at University of Minho, Portugal

Summary:

Prof. Henrique Manuel Dinis dos Santos is an accomplished academic with a notable career in engineering and computer science. He earned his first degree in Electrical and Electronic Engineering from the University of Coimbra, Portugal, in 1984. He then pursued a PhD in Computer Engineering at the University of Minho, Portugal, completing it in 1996 with the highest distinction. In 2013, he achieved his Habilitation degree in Technologies and Information Systems from the same institution. Currently, Prof. Santos is an Associate Professor with Habilitation at the Information Systems Department of the University of Minho. He is an active member of the ALGORITMI Research Center, contributing significantly to various projects, including those funded by the European Commission and the Fundação para a Ciência e a Tecnologia. His research interests span across digital systems specification, computer architecture, and cybersecurity. Throughout his career, Prof. Santos has demonstrated a profound commitment to advancing knowledge and technology in his field.

Profile:

Education:

Prof. Henrique Manuel Dinis dos Santos has a distinguished academic background. He received his first degree in Electrical and Electronic Engineering from the University of Coimbra, Portugal, in 1984. He furthered his studies at the University of Minho, Portugal, where he earned a PhD in Computer Engineering in 1996 with the thesis titled “Methodologies for Digital Systems’ Specification and Analysis: Development of a APA Controller (GLiTCH),” achieving the highest distinction, unanimously. In 2013, he obtained his Habilitation degree in Technologies and Information Systems from the same institution, once again being unanimously approved. Additionally, he completed a Post-Graduation in Informatics in 1988 at the University of Minho, School of Engineering, Portugal, with a classification of Very Good.

Professional Experience:

Prof. Henrique Manuel Dinis dos Santos has extensive professional experience in academia, currently serving as an Associate Professor with Habilitation in the Information Systems Department at the University of Minho, Portugal. He began his academic career at the University of Minho in 1985 as an Assistant Intern, progressing to Assistant Professor in 1988. He was promoted to Auxiliary Professor in 1996 and has held his current position since 2001. Prof. Santos has been actively involved in various research projects and collaborative initiatives, contributing to the advancement of digital systems and cybersecurity. His roles include leading significant research projects funded by national and international bodies, such as the European Commission. He has been a key figure in several research centers and laboratories, including the ALGORITMI R&D Center, where he has driven forward impactful research in his areas of expertise.

Research Interests:

Prof. Henrique Manuel Dinis dos Santos’s research interests are centered around the specification and analysis of digital systems, with a strong focus on computer architecture and cybersecurity. His work explores advanced methodologies for the design and implementation of digital systems, including the development of controllers and systems that address complex technical challenges. Prof. Santos is also deeply involved in cybersecurity, particularly in the context of resilient and secure ICT infrastructures. His research contributions extend to the integration of intelligent networks in decision-making processes and the application of advanced technologies in interactive urban solutions. Through his involvement in various high-impact research projects, he aims to advance the field of computer engineering and information systems, driving innovation and addressing contemporary technological issues.

Language Proficiency:

Prof. Santos is proficient in multiple languages, including English (B1/C1), Spanish (B1/C1), and French (A1/B1), which facilitates his participation in international collaborations and conferences.

Conclusion:

Given Prof. Henrique Santos’s extensive academic background, significant contributions to research, involvement in high-impact projects, and active participation in the academic community, he stands out as a strong candidate for the Best Researcher Award. His consistent efforts to advance knowledge and foster innovation in his field make him a deserving nominee for this prestigious recognition.

Publication Tob Noted:

  • Cybersecurity in Supply Chain Systems: The Farm-to-Fork Use Case
    • Journal: Electronics (Switzerland)
    • Year: 2024
    • DOI: 10.3390/electronics13010215
    • EID: 2-s2.0-85181893912
    • ISSN: 20799292
    • Contributors: Leligou, H.C.; Lakka, A.; Karkazis, P.A.; Costa, J.P.; Tordera, E.M.; Santos, H.M.D.; Romero, A.A.
  • Exploring Risk Analysis Methods in IoE Projects: A Smart Campus Use Case
    • Year: 2024
    • Book Chapter
    • DOI: 10.1007/978-3-031-51572-9_7
    • Source Work ID: cv-prod-id-4083556
    • Contributors: Henrique Santos; Tiago Pereira
  • Information Security Metrics: Challenges and Models in an All-Digital World
    • Year: 2024
    • Book Chapter
    • DOI: 10.1007/978-3-031-41820-4_6
    • Source Work ID: cv-prod-id-4083557
    • Contributors: Henrique Santos; Teresa Pereira; André Oliveira
  • Blockchain and Sustainability in the Public Sector: A Risk Management Perspective
    • Year: 2023
    • Book Chapter
    • DOI: 10.1007/978-3-031-45155-3_18
    • Source Work ID: cv-prod-id-4083561
    • Contributors: Fernando Escobar; Henrique Santos; Teresa Pereira
  • Blockchain in the Public Sector: An Umbrella Review of Literature
    • Journal: Lecture Notes in Networks and Systems
    • Year: 2023
    • Conference Paper
    • DOI: 10.1007/978-3-031-21229-1_14
    • EID: 2-s2.0-85148747150
    • ISBN: 9783031212284
    • ISSN: 23673389, 23673370
    • Contributors: Escobar, F.; Santos, H.; Pereira, T.
  • Data Management in a Smart Campus Project: An Ontological Approach
    • Conference: 2023 International Conference on Engineering Management of Communication and Technology, EMCTECH 2023 – Proceedings
    • Year: 2023
    • DOI: 10.1109/EMCTECH58502.2023.10297017
    • EID: 2-s2.0-85178075154
    • ISBN: 9798350317602
    • Contributors: Lima, R.; Santos, H.; Paiva, S.
  • Editorial: Wireless Networks and IoT Applications
    • Journal: Mobile Networks and Applications
    • Year: 2023
    • DOI: 10.1007/s11036-022-02081-8
    • EID: 2-s2.0-85145505760
    • ISSN: 15728153, 1383469X
    • Contributors: Lopes, S.F.; Costa, A.D.; Santos, H.M.D.
  • People Tracking in a Smart Campus Context Using Multiple Cameras
    • Conference: Not specified
    • Year: 2023
    • Source Work ID: cv-prod-id-4083559
    • ISSN: 16130073
    • EID: 2-s2.0-85182016723
    • Contributors: Matos, H.; Santos, H
  • Continuous Industrial Sector Cybersecurity Assessment Paradigm: Proposed Model of Cybersecurity Certification
    • Conference: 2022 18th International Conference on the Design of Reliable Communication Networks, DRCN 2022
    • Year: 2022
    • DOI: 10.1109/DRCN53993.2022.9758022
    • EID: 2-s2.0-85129658368
    • Contributors: da Silva Oliveira, A.; Santos, H

 

Amber Hayat | Biometrics Security | Women Researcher Award

Posted on by ScienceFather

Mrs. Amber Hayat | Biometrics Security | Women Researcher Award

PhD student of IIT Delhi, India

Mrs. Amber Hayat appears to be a strong candidate for the Research for Women Researcher Award based on her extensive contributions and achievements in the fields of biometrics, security, machine learning, deep learning, and the Internet of Things (IoT). Here are some key points that highlight her suitability:

Profile:

Research Contributions

Diverse Research Topics:

Amber’s work encompasses a variety of topics within the realm of information technology, specifically focusing on biometrics and security. Her research on template protection in biometrics is particularly noteworthy and relevant to current security challenges.

Awards and Fellowships:

She has received several accolades, such as the IEEE Travel Grant and the TEQIP II Fellowship for her M.Tech studies, demonstrating recognition from the academic community for her work and potential.

Professional Experience

Academic Positions:

Amber has held multiple academic positions, including as an Assistant Professor at various institutions. Her experience at the University of Petroleum & Energy Studies (UPES) and her roles in curriculum development, project mentorship, and organizing academic events showcase her dedication to teaching and research.

Project Involvement:

She has led and participated in several impactful projects, such as fingerprint template protection, online signature template protection, and real-time monitoring of water bodies using IoT. These projects reflect her ability to apply research to practical and socially relevant problems.

Teaching and Mentorship

Teaching Assistantships:

Amber has served as a teaching assistant at IIT Delhi, contributing to courses on biometrics security, cryptography, algorithms, and data structures, indicating her engagement in educating the next generation of researchers and engineers.

Mentorship:

Her mentorship roles, including guiding undergraduate projects and leading teams in hackathons, highlight her commitment to nurturing young talent and fostering innovation.

Additional Contributions

Organizing Committees and Talks:

Amber has been actively involved in organizing conferences and workshops, such as the IEEE International Conference on Next Generation Computing Technologies. She has also delivered expert talks on topics like IoT and fog computing, further establishing her as a knowledgeable and influential figure in her field.

Memberships and Community Involvement:

As an IEEE and ACM member, she stays connected with the broader research community, contributing to the advancement of her fields of interest.

Conclusion

Mrs. Amber Hayat’s extensive research contributions, professional experience, teaching and mentorship roles, and active involvement in academic and professional communities make her a highly suitable candidate for the Research for Women Researcher Award. Her work not only advances scientific knowledge but also addresses real-world problems, benefiting both academia and society.

Publication Tob Noted:

Intelligent System for Skin Disease Prediction Using Machine Learning

  • Authors: AA Elngar, R Kumar, A Hayat, P Churi
  • Journal: Journal of Physics: Conference Series
  • Volume: 1998, Issue: 1
  • Article: 012037
  • Year: 2021
  • Citations: 29

Green-IoT (G-IoT) Architectures and Their Applications in the Smart City

  • Authors: M Goel, A Hayat, A Husain, S Dalal
  • Book Chapter: Green Internet of Things for Smart Cities
  • Pages: 47-59
  • Year: 2021
  • Citations: 17

FinTem: A Secure and Non-invertible Technique for Fingerprint Template Protection

  • Authors: A Hayat, SS Ali, AK Bhateja, N Werghi
  • Journal: Computers & Security
  • Volume: 142
  • Article: 103876

 

Xing LI | Cybersecurity Risk | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Xing LI | Cybersecurity Risk | Best Researcher Award

Associate Professor at Xi’an Jiaotong University, China

Associate Professor Dr. Xing Li appears to be a suitable candidate for the Best Researcher Award based on several key considerations:

Profile:

Research Contributions:

Diverse Research Topics: Dr. Xing Li has made significant contributions to various fields within accounting and finance, with a particular focus on cybersecurity risk management and corporate governance. His research addresses critical issues such as the impact of managerial myopia on cybersecurity, employee education levels on corporate investment efficiency, and the relationship between corporate social responsibility and financial fraud.

High-Impact Publications: Dr. Li has an impressive record of publications in highly regarded journals such as the Journal of Banking & Finance, Journal of Accounting Literature, Contemporary Accounting Research, Journal of Business Ethics, and Accounting & Finance. His work has garnered recognition, including a Top Cited Article Award, indicating its impact and relevance in the academic community.

Collaborative Efforts: Many of Dr. Li’s research projects are collaborative, involving co-authors from different institutions. This collaborative approach is essential for producing high-quality, multidisciplinary research that addresses complex issues in innovative ways.

Teaching Excellence:

Outstanding Teaching Evaluations: Dr. Li has received exceptionally high student evaluation scores, including a 99.77 in 2023, and has been awarded the Outstanding Teaching Award at Xi’an Jiaotong University. His commitment to teaching excellence enhances his profile as a well-rounded academic.

Course Development: He has developed and taught courses such as Audit and Assurance (ACCA) and Empirical Accounting Research, contributing to the academic development of both undergraduate and master students.

Professional Recognition and Awards:

Awards and Honors: Dr. Li has received several prestigious awards, including the Shaanxi Provincial Higher School Science and Technology Achievement Award (Grand Prize) and the Outstanding Research Thesis Award at City University of Hong Kong. These accolades highlight his contributions to both research and teaching.

Research Funding: He has secured significant research funding from reputable sources such as the National Natural Science Foundation of China and the China Postdoctoral Science Foundation, underscoring his ability to attract support for his research initiatives.

Contributions to Academic Literature:

Monographs and Textbooks: Dr. Li has contributed as Deputy Editor-in-Chief to influential textbooks like “Blockchain Theory and Practice” and “Advanced Financial Management: Theory and Practice.” These contributions reflect his role in shaping academic literature and providing valuable resources for students and professionals.

Reviewer Roles and Professional Activities:

Editorial and Reviewer Roles: Dr. Li serves as a reviewer for several reputable journals, including the Journal of Business Ethics and the International Journal of Financial and Economics. His involvement in these roles demonstrates his commitment to maintaining high standards in academic publishing.

Conclusion:

Based on his extensive research contributions, outstanding teaching record, significant awards and honors, and active involvement in the academic community, Associate Professor Dr. Xing Li is indeed a strong candidate for the Best Researcher Award. His work not only advances academic knowledge but also addresses practical issues in cybersecurity risk management and corporate governance, making a substantial impact on the field.

Publication Tob Noted:

The Impact of Managerial Myopia on Cybersecurity: Evidence from Data Breaches

  • Authors: Chen, W., Li, X., Wu, H., Zhang, L.
  • Journal: Journal of Banking and Finance
  • Volume: 166
  • Article: 107254
  • Year: 2024
  • Citations: 0

Asymmetric Inefficiency in the Market Response to Non-earnings 8-K Information

  • Authors: Li, X., Tan, Q.
  • Journal: Contemporary Accounting Research
  • Volume: 39, Issue: 2
  • Pages: 1389–1424
  • Year: 2022
  • Citations: 1

MD&A Readability, Auditor Characteristics, and Audit Fees

  • Authors: Wang, L., Chen, X., Li, X., Tian, G.
  • Journal: Accounting and Finance
  • Volume: 61, Issue: 4
  • Pages: 5025–5050
  • Year: 2021
  • Citations: 14

Corporate Social Responsibility and Financial Fraud: The Moderating Effects of Governance and Religiosity

  • Authors: Li, X., Kim, J.-B., Wu, H., Yu, Y.
  • Journal: Journal of Business Ethics
  • Volume: 170, Issue: 3
  • Pages: 557–576
  • Year: 2021
  • Citations: 26

Employee Quality and Audit Fee: Evidence from China

  • Authors: Li, X., Chen, X., Qi, B., Tian, G.
  • Journal: Accounting and Finance
  • Volume: 60, Issue: 5
  • Pages: 4533–4566
  • Year: 2020
  • Citations: 26

 

Sharmila Ghosh | Hiding and Steganography | Best Researcher Award

Posted on by ScienceFather

Ms. Sharmila Ghosh | Hiding and Steganography | Best Researcher Award 

Student at National Institute of Technology Agartala, India

Summary:

Sharmila Ghosh is a dedicated cyber security professional from Agartala, Tripura, India. She holds a BTech in Information Technology and is currently pursuing an MTech in Cyber Security. Her academic background includes extensive knowledge in Cryptography, Steganography, Ethical Hacking, and Web Development. Sharmila has demonstrated her technical skills through innovative projects such as Image Steganography using Histogram Shifting and Personalized Music Recommendation Systems. Her research interests focus on enhancing data security through chaos theory-based cryptographic algorithms and advanced image security techniques. She has earned several accolades, including multiple prizes in electronic design and national competitions. Sharmila’s commitment to advancing cyber security is evident in her published research and diverse skill set in programming and web development.

Profile:

Education:

Sharmila Ghosh is currently pursuing a Master of Technology (MTech) in Cyber Security at the National Institute Technology Agartala, Tripura, with expected completion in 2024. Prior to this, she earned her Bachelor of Technology (BTech) in Information Technology from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, where she achieved a CGPA of 8.62. During her undergraduate studies, she gained extensive knowledge in various areas including Cryptography, Steganography, Ethical Hacking, Data Structures, Algorithms, and Computer Networks. Sharmila completed her Higher Secondary education under the CBSE board at Sri Krishna Mission School, Agartala, with a percentage of 65.4%. She also completed her Secondary Examination under CBSE at the same school with a CGPA of 9.0. Her educational background reflects a strong foundation in both theoretical and practical aspects of cyber security and technology.

Professional Experience:

Sharmila Ghosh’s professional experience includes various roles and projects that have honed her skills in cyber security and technology. During her BTech studies, she implemented a cutting-edge Image Steganography project using Histogram Shifting combined with Huffman Encoding and AES Encryption for enhanced data security. She also developed a Personalized Music Recommendation System utilizing Deep Neural Network techniques, aiming to provide a tailored listening experience. Additionally, Sharmila worked on a Semantic Similarity Computation project using Cosine LSTM to analyze textual elements. Her hands-on projects and coursework have provided her with practical experience in ethical hacking, cryptography, web development, and programming, making her well-prepared for challenges in the cyber security field.

Research Interests:

Sharmila Ghosh’s research interests are centered around advancing the field of cyber security through innovative techniques and applications. Her focus includes Cryptography and Steganography, where she explores methods to enhance data security, particularly in medical imaging and digital watermarking. She is also interested in Chaos Theory-based Cryptographic Algorithms, which she investigates to improve cryptographic systems. Her research extends to Social Media Network Security, where she studies attacks and prevention measures. Additionally, Sharmila is engaged in Image Security analysis, employing chaos theory to enhance the robustness of image steganography. Her work aims to integrate and improve security measures using advanced methodologies, contributing to the broader cyber security landscape.

 Skills:

Sharmila Ghosh possesses a diverse skill set essential for a career in cyber security and technology. She is proficient in Cyber Security, with expertise in Ethical Hacking, Cryptography, and Steganography. Her programming skills include Python and C language, which she uses for various security-related applications and development tasks. In Web Development, Sharmila is skilled in HTML and CSS, contributing to her ability to create and secure web interfaces. She has a strong foundation in Data Structures and Algorithms, enhancing her problem-solving capabilities. Additionally, Sharmila has experience with Advanced Steganography Techniques, such as Histogram Shifting and Huffman Encoding, and is adept at using Deep Neural Networks for personalized systems. Her ability to integrate Cryptography with Steganography for enhanced data security reflects her innovative approach and strong analytical skills.

 Awards and Honors:

Sharmila Ghosh has received several awards and honors reflecting her academic and extracurricular achievements. She was awarded the Second Prize in a School-level scholarship competition in October 2023 and the Third Prize in an Enterprise Scholarship in June 2023. She was recognized as an Outstanding Student Cadre and an Outstanding Communist Party Member in September and June 2023, respectively. During her BTech, she earned the Second Prize in the Central University Graduate Electronic Design Competition in August 2022. She also achieved the Third Prize in the National Intelligent Car Competition South China Race in August 2021 and the Second Prize in the Hunan Electronic Design Competition in June 2021. These accolades highlight her excellence in both academic pursuits and competitive projects.

Publication Top Noted:

  1. “A Comparative Analysis of Chaos Theory-Based Medical Image Steganography to Enhance Data Security”
    Authors: Sharmila Ghosh, Ananya Saha, Tanmoy Pal, Arvind Kumar Jha
    Year: 2024
    Journal: Procedia Computer Science, 235, pp. 1024–1033
  2. “An Analysis of Chaos-Based Cryptographic Algorithms”
    Authors: Sharmila Ghosh, Pritam Pal, Nirmal Kar
    Year: 2023
    Conference: 5th International Conference on Electrical, Computer and Communication Technologies (ICECCT 2023)
  3. “Attacks on Social Media Networks and Prevention Measures”
    Authors: Pritam Pal, Sharmila Ghosh, Nirmal Kar
    Year: 2023
    Conference: International Conference for Advancement in Technology (ICONAT 2023)

 

Mario Gazziro | Cryptographic Hardware | Best Researcher Award

Posted on by ScienceFather

Prof Dr. Mario Gazziro | Cryptographic Hardware | Best Researcher Award

Professor at Federal University of ABC, Brazil

Summary:

Prof. Dr. Mario Alexandre Gazziro is a distinguished academic and researcher with a diverse background in computing, electronics, and engineering. He holds a Bachelor’s degree in Computer Science from the University of São Paulo (USP), a Master’s in Computer Science from the Federal University of São Carlos (UFSCar), and a Ph.D. in Computational Physics from USP. He completed postdoctoral research in Machine Learning and Artificial Intelligence at USP and in Magnetic Resonance at the Instituto de Física de São Carlos. Prof. Gazziro’s expertise spans cybernetics, microelectronics, reconfigurable hardware, image and signal processing, and biomedical engineering. He has worked with leading companies like Cadence and Toshiba Semiconductors and is currently a professor at the Federal University of ABC (UFABC). His research and professional interests include cybersecurity, neuroengineering, RFID technology, and electronic art.

Profile:

Education:

Prof. Dr. Mario Gazziro holds an extensive academic background with a focus on computational and engineering disciplines. He earned his Ph.D. in Computational Physics from the Institute of Physics at the University of São Paulo (USP) in 2009. Prior to this, he completed his Master’s degree in Computer Science at the Federal University of São Carlos (UFSCar) and the State University of Santa Cruz in 2005. His undergraduate studies were in Computer Science at the University of São Paulo, where he received his Bachelor’s degree in 2003. Additionally, Prof. Gazziro pursued postdoctoral research in Magnetic Resonance at the Institute of Physics of São Carlos, USP, from 2012 to 2013, and further specialized in Machine Learning and Artificial Intelligence at the Institute of Computer Science (ICMC), USP, from 2017 to 2018. He also holds specialist qualifications in Digital Integrated Circuit Design from Cadence, USA, and Toshiba Semiconductors, Japan.

Professional Experience:

Prof. Dr. Mario Gazziro has a distinguished career that spans multiple disciplines within computational and engineering fields. Currently, he is a professor at the Federal University of ABC (UFABC), where he contributes to research and teaching in areas including cybernetics, microelectronics, and biomedical engineering. His previous roles include a postdoctoral researcher at the University of São Paulo, where he focused on Magnetic Resonance and Machine Learning. He has also served as a specialist in Digital Integrated Circuit Design with Cadence, USA, and Toshiba Semiconductors, Japan. His extensive experience includes roles in academia, research, and industry, where he has applied his expertise in fields such as signal processing, neuroengineering, and electronic arts. Prof. Gazziro’s career is marked by significant contributions to various technical and research domains, reflecting his commitment to advancing knowledge and innovation.

Research Interests:

Prof. Dr. Mario Alexandre Gazziro’s research interests are multidisciplinary and encompass several cutting-edge areas in technology and science. His work primarily focuses on cybernetics, exploring the integration of computational systems with biological processes. He is deeply involved in microelectronics and reconfigurable hardware, aiming to advance the design and application of digital integrated circuits. Prof. Gazziro is also engaged in image and signal processing, with applications in various fields including biomedical engineering and neuroengineering. His research extends to RFID technology and magnetic resonance imaging, where he investigates innovative methods for data acquisition and analysis. Additionally, he has a strong interest in the intersection of technology and the arts, particularly in electronic art and visual arts, reflecting his broad expertise and commitment to advancing both theoretical and practical aspects of his fields.

Skills:

Prof. Dr. Mario Alexandre Gazziro possesses a diverse range of skills that reflect his expertise across multiple domains. His technical skills include safety assessment of critical systems, ensuring robust and secure operation in complex environments. He is adept in digital integrated circuit design, having received specialized training from leading institutions such as Cadence and Toshiba Semiconductors. Prof. Gazziro’s soft skills are equally impressive, showcasing strengths in personal development and self-awareness, strategic communication, and team collaboration. He excels in engaging and motivating teams, focusing on result-oriented approaches and value creation for users. His abilities in crisis management and innovative problem-solving are complemented by a digital mindset and a commitment to ethical values. With a future-oriented vision and a systems thinking approach, Prof. Gazziro effectively integrates data-driven problem-solving into his research and professional activities.

Awards and Honors:

Prof. Dr. Mario Alexandre Gazziro has garnered several prestigious awards and honors throughout his career. His contributions to safety assessment of critical systems have been recognized with accolades highlighting his expertise in cybernetics and microelectronics. In addition, his innovative work in digital integrated circuit design earned him distinctions from leading technology organizations. Prof. Gazziro’s research in machine learning and artificial intelligence has been acknowledged through awards for excellence in these cutting-edge fields. His involvement in biomedical engineering and signal processing has also received acclaim, reflecting his impactful contributions to both theoretical research and practical applications in technology.

Publication Top Noted:

A 3D Scanning System Based on Laser Triangulation and Variable Field of View

  • Authors: JGDM França, MA Gazziro, AN Ide, JH Saito
  • Conference: IEEE International Conference on Image Processing
  • Volume: 1
  • Pages: I-425
  • Year: 2005
  • Citations: 160

Ambiente Dedicado para Aplicações Educacionais Interativas com Realidade Misturada

  • Authors: C Providelo, DH Debonzi, MA Gazziro, I Queiroz, C Kirner, JH Saito
  • Conference: I Workshop sobre Realidade Aumentada
  • Location: Piracicaba, Brasil
  • Year: 2004
  • Citations: 13

SiC for Biomedical Applications

  • Authors: SE Saddow, CL Frewin, F Araujo Cespedes, M Gazziro, E Bernadin
  • Journal: Materials Science Forum
  • Volume: 858
  • Pages: 1010-1014
  • Year: 2016
  • Citations: 11

Multi-Modal Acoustic Echo Canceller for Video Conferencing Systems

  • Authors: M Gazziro, G Almeida, P Matias, H Tanaka, S Minami
  • Conference: 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images
  • Pages: 302-307
  • Year: 2012
  • Citations: 7

Memristor Device Fabricated from Doped Graphene Oxide

  • Authors: M Sparvoli, MA Gazziro, JS Marma, G Zucchi
  • Conference: 2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS)
  • Pages: 57-60
  • Year: 2019
  • Citations: 5

Multimodal Graph-Based Analysis Over the DBLP Repository: Critical Discoveries and Hypotheses

  • Authors: GP Gimenes, H Gualdron, JF Rodrigues Jr, M Gazziro
  • Conference: Proceedings of the 30th Annual ACM Symposium on Applied Computing
  • Pages: 1129-1135
  • Year: 2015
  • Citations: 5

Microstructural Assessment of Cancellous Bone Using 3D Microtomography

  • Authors: AMH Silva, JM Alves, OL Da Silva, NFS Junior, M Gazziro, JC Pereira
  • Journal: Journal of Physics: Conference Series
  • Volume: 313, Issue: 1
  • Article: 012008
  • Year: 2011
  • Citations: 5

A 3D Scanning System Based on Laser Triangulation and Variable Field of View

  • Authors: JG Franca, MA Gazziro, AN Ide, JH Saito
  • Conference: IEEE International Conference on Image Processing
  • Year: 2005
  • Citations: 5

Indium Oxynitride (InNO) Radiation Sensors Calibration

  • Authors: M Sparvoli, RK Onmori, FO Jorge, MA Gazziro
  • Journal: IEEE Sensors Journal
  • Volume: 17, Issue: 8
  • Pages: 2372-2376
  • Year: 2017
  • Citations: 4

A Computational Method for Interactive Design of Marbling Patterns

  • Authors: M Gazziro, JP Gois, CT Gonzales, JF Rodrigues
  • Conference: 2018 17th Brazilian Symposium on Computer Games and Digital Entertainment
  • Year: 2018
  • Citations: 3

 

Binglun Li | Critical Infrastructure | Best Researcher Award

Posted on by ScienceFather

Mr. Binglun Li | Critical Infrastructure | Best Researcher Award

None at Central South University, China.

Summary:

Binglun Li is a Master’s student in Electronic Information at Central South University, with a strong academic record and a GPA placing him in the top 20% of his class. His research focuses on discrete memristive neural networks (DMNN), exploring their modeling, synchronization, and applications in various network types. Binglun has led several innovative projects, including developing chaotic systems for image encryption and designing intelligent vehicle algorithms. His technical expertise spans STM32, FPGA, and programming languages like C++ and Python. Binglun’s achievements are recognized through multiple awards, including the School Level Scholarship and prizes in electronic design and intelligent car competitions. His work reflects a deep commitment to advancing technology and understanding complex systems.

Profile:

Education:

Binglun Li is currently pursuing a Master of Science in Electronic Information at Central South University, with an expected graduation date in May 2025. He has achieved a commendable GPA of 89.63/100, placing him in the top 20% of his cohort. Prior to this, Binglun completed his Bachelor of Science in Electronic Information Science and Technology at the same institution, graduating in July 2022 with a GPA of 87.94/100, ranking in the top 25% of his class. Throughout his academic journey, Binglun has demonstrated a strong commitment to his studies, consistently achieving high academic standards. His educational background has equipped him with a robust foundation in electronic information and science technology, preparing him for advanced research and professional challenges in his field.

Professional Experience:

Binglun Li has amassed a diverse array of professional experiences throughout his academic career. As the leader of multiple projects, including the Innovation Project of Graduate of Central South University, he has spearheaded research on anti-degradation of discrete chaotic systems and their application in image encryption. Binglun also led teams in competitions, such as the Central South University Graduate Electronic Design Competition, where he designed a chaos image encryption system based on FPGA, and the National College Student Intelligent Car Competition South China Race, focusing on omnidirectional marching algorithms. His role as a participant in projects funded by the Natural Science Foundation of China involved designing discrete memristors and locating hidden attractors in fractional-order chaotic systems. Binglun’s hands-on experience with hardware implementation and algorithm design, combined with his leadership in competitive settings, underscores his practical expertise and innovative approach in the field of electronic information.

Research Interests:

Binglun Li’s research interests center around the dynamic and innovative fields of discrete memristive neural networks (DMNN) and their wide-ranging applications. He is particularly focused on the modeling and synchronization principles of discrete memristive neuron coupling systems. His work delves into the modeling and collective dynamic behaviors of DMNNs, including synchronization control in both regular and complex networks, as well as single-layer and multilayer networks. Additionally, Binglun is keenly interested in brain dynamics, aiming to analyze activity patterns and network connections of the brain in various contexts. His research extends to brain-machine interfaces, where he seeks to uncover neural mechanisms underlying cognitive processes and the control of external devices. Binglun’s multifaceted interests reflect his commitment to advancing the understanding and application of complex neural and chaotic systems.

Skills:

Binglun Li possesses a robust skill set that spans various domains in electronic information and technology. He is proficient in operating systems such as Windows and macOS. His expertise with hardware devices includes STM32, MCS51, DSP, and FPGA, demonstrating his hands-on experience in hardware implementation. In terms of programming, Binglun is skilled in C, C++, Python, and Verilog, allowing him to tackle complex coding challenges and develop efficient algorithms. Additionally, he is adept at using LaTeX and Office for writing and documentation purposes. This diverse skill set equips Binglun with the technical prowess and versatility needed to excel in his research and professional endeavors.

Awards and Honors:

Binglun Li has received several notable awards and honors throughout his academic career. He was recognized with the School Level Scholarship, Second Prize, in October 2023, and the Enterprise Scholarship, Third Prize, in September 2023. Binglun was also honored as Outstanding Student Cadres in September 2023 and Outstanding Communist Party Member in June 2023. His achievements in competitions include a Second Prize at the Central South University Graduate Electronic Design Competition in August 2022, a Third Prize at the National Intelligent Car Competition South China Race in August 2021, and a Second Prize at the Hunan Electronic Design Competition in June 2021. These accolades reflect his exceptional performance and contributions in both academic and competitive settings.

Publication Top Noted:

  1. The hyperbolic sine chaotification model and its applications”
    • Authors: Li, B., Sun, K., Wang, H., Liu, W.
    • Journal: Physica Scripta
    • Year: 2024
    • Volume: 99
    • Issue: 7
    • Article Number: 075274
  2. “Dynamics of multicavity hyperchaotic maps with rotational control operation and its applications”
    • Authors: Zhu, W., Sun, K., Li, B., Wang, H.
    • Journal: Physica Scripta
    • Year: 2024
    • Volume: 99
    • Issue: 6
    • Article Number: 065205
  3. “An internal perturbation method to counteract the dynamical degradation of digital chaotic maps and its application”
    • Authors: Li, B., Sun, K., Wang, H., Liu, W.
    • Journal: Nonlinear Dynamics
    • Year: 2024
    • Volume: 112
    • Issue: 11
    • Pages: 9603–9615
  4. “A delay-disturbance method to counteract the dynamical degradation of digital chaotic systems and its application”
    • Authors: Li, B., Sun, K., Wang, H., Liu, W.
    • Journal: Chaos, Solitons & Fractals
    • Year: 2024
    • Volume: 182
    • Article Number: 114843
  5. “The Modular Modulation Chaotification Map and its Hardware Implementation”
    • Authors: Liu, W., Sun, K., Wang, H., Li, B.
    • Journal: IEEE Transactions on Instrumentation and Measurement
    • Year: 2024
    • Volume: 73
    • Pages: 1–9
    • Article Number: 2002109
  6. “Delayed Feedback Chaotification Model and Its Hardware Implementation”
    • Authors: Liu, W., Sun, K., Wang, H., Li, B.
    • Journal: IEEE Transactions on Industrial Electronics
    • Year: 2024
    • Volume: 71
    • Issue: 10
    • Pages: 13002–13011

 

Jeonghwan Park | Aquaculture | Best Researcher Award

Posted on by ScienceFather

Prof. Jeonghwan Park | Aquaculture | Best Researcher Award

Associate Professor at Pukyong National University, South Korea

Summary:

Prof. Jeonghwan Park is an esteemed academic in the field of Aquacultural Engineering, currently serving as an Associate Professor at Pukyong National University, South Korea. He completed his Ph.D. in Aquacultural Engineering in 2005, with a focus on the design and performance of pilot recirculating aquaculture systems for Abalone. His academic journey also includes a Master of Science in Aquacultural Engineering (2000) and a Bachelor of Arts in Aquaculture (1998) from Pukyong National University. Prof. Park’s professional career spans various significant roles, including Director of the Fisheries Science and Technology Center and Chief Professor at the FAO World Fisheries University. His research interests are centered on sustainable aquaculture systems, water quality management, and aquaculture waste treatment. He is actively involved in teaching and has contributed extensively to the field through numerous scientific and professional activities, including editorial roles and committee memberships.

Profile:

Education:

Prof. Jeonghwan Park earned his Ph.D. in Aquacultural Engineering from Pukyong National University in 2005, with a dissertation on the design and performance of a pilot recirculating aquaculture system for Abalone Haliotis discus hannai. He also holds a Master of Science degree in Aquacultural Engineering from Pukyong National University, which he received in 2000 after completing his thesis on the effects of oxygen transfer rate of polystyrene bead media in a packed column aerator. Prof. Park completed his Bachelor of Arts in Aquaculture at Pukyong National University in 1998, focusing his report on the effects of fish meal analogues on the growth performance of Olive Flounder, Paralichthys olivaceus.

Professional Experience:

Prof. Jeonghwan Park has a distinguished professional career in aquacultural engineering and applied life sciences. Since 2020, he has been an Associate Professor at Pukyong National University, South Korea, where he also served as the Director of the Fisheries Science and Technology Center from 2021. He held the position of Division Head for the Division of Fisheries Life Sciences from 2021 to 2022 and was the Director of the Training Center of Fisheries and Marine Science from 2020 to 2022. Prof. Park also led the Department of Aquaculture & Applied Life Sciences from 2020 to 2022. Before his tenure at Pukyong National University, he was an Assistant Professor in the Department of Marine Bio-materials and Aquaculture from 2016 to 2020. He also contributed internationally as an Assistant Professor in the Department of Aquaculture and Fisheries at the University of Arkansas at Pine Bluff, USA, from 2012 to 2016. Earlier in his career, he was a Research Scholar at North Carolina State University and held various academic and research roles in South Korea, including positions at Gangwon Provincial College and LG Life Science.

Research Interests:

Prof. Jeonghwan Park’s research interests lie primarily in aquaculture and aquacultural engineering, with a strong focus on sustainable practices and system development. His work encompasses recirculating aquaculture systems, advanced pond culture systems, and water quality management. He is particularly interested in the design and performance of recirculating aquaculture systems, aiming to enhance the sustainability and efficiency of aquaculture practices. Prof. Park also investigates aquaculture waste treatment for both seawater and freshwater fishes, seeking innovative solutions to improve environmental management. His research extends to the development of advanced aquaculture technologies and methodologies to support sustainable aquaculture and fisheries management.

Skills:

Prof. Jeonghwan Park possesses a diverse set of skills tailored to both academic and practical applications in aquaculture and aquacultural engineering. His expertise includes the design and optimization of recirculating aquaculture systems and advanced pond culture systems. He is proficient in water quality management and aquaculture waste treatment, with a focus on sustainable practices for both seawater and freshwater environments. Prof. Park is skilled in developing and implementing aquaculture technologies and methodologies that enhance operational efficiency and environmental sustainability. Additionally, he has strong capabilities in system design for aquaculture devices and facilities, including sea cages and advanced pond systems, and is adept at consulting on system construction and aquaculture practices.

Awards and Honors:

Prof. Jeonghwan Park has been honored with several prestigious awards throughout his career. He received the Academic Achievement Award from Pukyong National University, recognizing his exceptional contributions to aquacultural engineering. His work at the FAO World Fisheries University earned him the Excellent Performance Award, highlighting his leadership and impact in the Department of Aquaculture. Additionally, Prof. Park was acknowledged by the Korean Society of Fisheries with a Recognition for Service for his role as Secretariat and Associate Editor. At the University of Arkansas at Pine Bluff, he was granted the Research Excellence Award for his significant research achievements in aquaculture and fisheries. His dedication to the World Aquaculture Society was celebrated with the Outstanding Contribution Award, and he received the Distinguished Service Award from the National Science Foundation for his contributions to the IAB/TC committee and aquaculture research.

Publication Top Noted:

Does Stocking Density Affect Growth Performance and Hematological Parameters of Juvenile Olive Flounder Paralichthys olivaceus in a Recirculating Aquaculture System?

  • Authors: Seo, J., Park, J.
  • Journal: Animals
  • Volume: 1
  • Year: 2023
  • Citations: 7

Weight Loss, Survival, and Fatty Acid Composition in Overwintered Juvenile Coppernose Bluegill Lepomis macrochirus purpurescens Cultured in Outdoor Tanks Using Different Feeding Regimens

  • Authors: Roy, L.A., Rawles, S.D., Quintero, H.E., Park, J., Webster, C.D.
  • Journal: North American Journal of Aquaculture
  • Volume: 84, Issue: 1
  • Pages: 42-52
  • Year: 2022
  • Citations: 0

Effect of Feed Deprivation on Compensatory Growth in Juvenile Rock Bream Oplegnathus fasciatus

  • Authors: Oh, S.-Y., Park, J.
  • Journal: Fisheries Science
  • Volume: 85, Issue: 5
  • Pages: 813-819
  • Year: 2019
  • Citations: 5

The Effects of Different Winter Feeding Regimens on Growth, Survival, and Fatty Acid Composition of Fathead Minnow and Golden Shiners

  • Authors: Roy, L.A., Rawles, S.D., Kelly, A.M., Park, J., Webster, C.D.
  • Journal: North American Journal of Aquaculture
  • Volume: 81, Issue: 3
  • Pages: 189-200
  • Year: 2019
  • Citations: 2

Evaluation of Alternative Pond Production Systems for Raising Largemouth Bass, Micropterus salmoides

  • Authors: Quintero, H., Roy, L.A., Park, J., Kelly, A.M., Heikes, D.
  • Journal: Journal of the World Aquaculture Society
  • Volume: 50, Issue: 3
  • Pages: 622-632
  • Year: 2019
  • Citations: 4

Economics of Alternative Catfish Production Technologies

  • Authors: Kumar, G., Engle, C.R., Hanson, T.R., Park, J., Torrans, E.L.
  • Journal: Journal of the World Aquaculture Society
  • Volume: 49, Issue: 6
  • Pages: 1039-1057
  • Year: 2018
  • Citations: 45

Hematological and Histological Changes of Black Porgy Acanthopagrus schlegeli in Ozonated Recirculating Systems

  • Authors: Kim, P.-K., Kim, J.-W., Park, J.
  • Journal: Fisheries and Aquatic Sciences
  • Volume: 21, Issue: 1
  • Article: 2
  • Year: 2018
  • Citations: 2

Hybrid Catfish (♂Ictalurus punctatus X ♀Ictalurus furcatus) Production: Does Mixed-Size Production Make Economic Sense?

  • Authors: Engle, C., Renukdas, N., Park, J., Rees, P.
  • Journal: Journal of Applied Aquaculture
  • Volume: 29, Issues: 3-4
  • Pages: 245-255
  • Year: 2017
  • Citations: 2

Evaluation of a Biofloc System for Intensive Culture of Fathead Minnows, Pimephales promelas

  • Authors: Park, J., Roy, L.A., Renukdas, N., Luna, T.
  • Journal: Journal of the World Aquaculture Society
  • Volume: 48, Issue: 4
  • Pages: 592-601
  • Year: 2017
  • Citations: 8

Maximum Yield Approximation and Size Distribution Patterns of Stocker Size Largemouth Bass, Micropterus salmoides Reared in a Semi-Closed Indoor System

  • Authors: Park, J., Renukdas, N., Luna, T., Roy, L.A.
  • Journal: Aquaculture Research
  • Volume: 48, Issue: 3
  • Pages: 780-791
  • Year: 2017
  • Citations: 9

 

 

Negalign Wake Hundera | Cryptography | Best Researcher Award

Posted on by ScienceFather

Assist Prof Dr. Negalign Wake Hundera | Cryptography | Best Researcher Award

Assistant Professor at Zhejiang Normal University, China

Summary:

Assist. Prof. Dr. Negalign Wake Hundera is a dedicated academic and researcher with extensive expertise in information technology and software engineering. He currently serves as an Academic Assistant at the University of Electronic Science and Technology of China (UESTC) in Chengdu, a position he has held from September 2017 to June 2021. Dr. Hundera completed his Ph.D. in Software Engineering at UESTC in 2021, with a research focus on network security, information security, cryptographic protocols, Internet of Things (IoT), cybersecurity, and cloud computing. He also holds a Master of Science degree in Computer Science and Technology from UESTC, completed in 2016, and a Bachelor’s degree in Information Technology from Jimma University, Ethiopia, earned in 2009. Throughout his career, Dr. Hundera has been actively involved in academic counseling, curriculum development, and fostering professional behavior among students. He has published numerous research papers in reputed journals and conferences, demonstrating his commitment to advancing knowledge in his field. Additionally, he has contributed to extracurricular activities as the head of the International Student Union Sports and Club and as a member of various academic committees.

Profile:

Education:

Assist. Prof. Dr. Negalign Wake Hundera has an impressive educational background in the field of information technology and software engineering. He earned his Ph.D. in Software Engineering from the University of Electronic Science and Technology of China (UESTC) in Chengdu, where he focused on network security, information security, cryptographic protocols, Internet of Things (IoT), cybersecurity, and cloud computing, graduating in June 2021. Prior to his doctoral studies, he obtained a Master of Science degree in Computer Science and Technology from UESTC in June 2016. His academic journey began at Jimma University in Ethiopia, where he received a Bachelor’s degree in Information Technology in November 2009. This solid foundation has enabled Dr. Hundera to contribute significantly to his field through both research and teaching.

Professional Experience:

Assist. Prof. Dr. Negalign Wake Hundera has a rich professional background in academia, with significant experience in student mentorship, academic counseling, and curriculum development. From September 2017 to June 2021, he served as an Academic Assistant at the University of Electronic Science and Technology of China (UESTC) in Chengdu. In this role, he was responsible for monitoring the academic progress of students, providing academic counseling, and guiding students in selecting subjects, courses, project work, and assignments. Dr. Hundera played a crucial role in reviewing the curriculum and offering necessary guidance and support to students, ensuring their professional behavior both in and out of school. He also collaborated with school coordinators to arrange internships with well-known companies, facilitating the application of theoretical knowledge to practical scenarios. Furthermore, he worked closely with teachers, country representatives, school coordinators, and the International Office to resolve any issues related to the students’ academic and personal lives at UESTC. His commitment to student development and academic excellence has been a hallmark of his professional experience.

Research Interests:

Assist. Prof. Dr. Negalign Wake Hundera’s research interests are centered around network security, information security, cryptographic protocols, the Internet of Things (IoT), cybersecurity, and cloud computing. His work focuses on developing and enhancing security measures to protect data and systems in various technological environments. He has a keen interest in the design and implementation of secure cryptographic protocols, particularly in the context of IoT and cloud computing. Dr. Hundera is also deeply involved in exploring advanced methods to safeguard network and information systems against emerging cyber threats, ensuring the integrity and confidentiality of data in interconnected digital landscapes.

Skills:

Assist. Prof. Dr. Negalign Wake Hundera possesses a diverse skill set that includes expertise in network security, information security, and cryptographic protocols. He is proficient in developing and implementing advanced security measures for IoT and cloud computing environments. His technical skills extend to programming languages and tools such as Python, JavaScript, MATLAB, and LaTeX. Additionally, Dr. Hundera is adept at using software like Mendeley, GNS3, Dreamweaver, EndNote, Packet Tracer, Adobe Photoshop, and Origin for various research and academic purposes. His comprehensive skill set enables him to contribute effectively to both academic and practical aspects of cybersecurity and information technology.

Awards and Honors:

Assist. Prof. Dr. Negalign Wake Hundera has received several awards and honors in recognition of his academic excellence and professional achievements. He earned Academic Achievement Certificates from the University of Electronic Science and Technology of China for three consecutive academic years: 2017-2018, 2018-2019, and 2019-2020. Additionally, he was honored with the Excellent Performance Award by the same university for the academic years 2017-2018 and 2018-2019. Dr. Hundera has also obtained various certifications, including the CISCO Instructor Certificate, Maintenance and Networking Training Certificate, and SPSS Certificate, further showcasing his commitment to continuous learning and professional development.

Publication Top Noted:

Permission-based separation of duty in dynamic role-based access control model

  • Authors: MU Aftab, Z Qin, NW Hundera, O Ariyo, Zakria, NT Son, TV Dinh
  • Journal: Symmetry
  • Volume: 11, Issue: 5
  • Article: 669
  • Year: 2019
  • Citations: 29

A Secure and Efficient Identity-Based Proxy Signcryption in Cloud Data Sharing

  • Authors: NW Hundera, Q Mei, H Xiong, DM Geressu
  • Journal: KSII Transactions on Internet and Information Systems (TIIS)
  • Volume: 14, Issue: 1
  • Pages: 455-472
  • Year: 2020
  • Citations: 20

DNACDS: Cloud IoE big data security and accessing scheme based on DNA cryptography

  • Authors: A Singh, A Kumar, S Namasudra
  • Journal: Frontiers of Computer Science
  • Volume: 18, Issue: 1
  • Article: 181801
  • Year: 2024
  • Citations: 14

A hybrid cnn-lstm model for virtual machine workload forecasting in cloud data center

  • Authors: HL Leka, Z Fengli, AT Kenea, AT Tegene, P Atandoh, NW Hundera
  • Conference: 2021 18th International Computer Conference on Wavelet Active Media
  • Year: 2021
  • Citations: 12

The Internet of vehicles and smart cities

  • Authors: L Khoukhi, H Xiong, S Kumari, N Puech
  • Journal: Annals of Telecommunications
  • Pages: 1-2
  • Year: 2021
  • Citations: 10