Sharmila Ghosh | Hiding and Steganography | Best Researcher Award

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

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

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

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: 13, Issue: 1
    • Article: 44
    • Year: 2023
    • Citations: 7
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)
  • 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
    • Abstract: (Link Disabled)
    • Related Documents: (Link Disabled)

 

Negalign Wake Hundera | Cryptography | Best Researcher Award

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

 

Christopher Retiti Diop Emane | Anomaly Detection | Best Researcher Award

Mr. Christopher Retiti Diop Emane | Anomaly Detection | Best Researcher Award

Phd Student of Chungbuk National University, Gabon

Summary:

Mr. Christopher Retiti Diop Emane is a detail-oriented professional dedicated to achieving best-in-class results. He holds a Bachelor’s Degree in Programmer Analyst from the African Institute of Computer Science, completed in 2018. Furthering his expertise, he earned a Master’s Degree in Big Data from Chungbuk National University in 2022, where he is currently pursuing a PhD in Information and Communication Engineering. With experience as a Web Developer and Technical Assistant at IBOUNDJI TECHNOLOGIE and as a Community Manager at System Ok, Christopher has honed his skills in web development, technical support, and community management. He is committed to continuous improvement, effective communication, and teamwork, making him a valuable asset in any collaborative environment. In addition to his professional pursuits, he enjoys reading, volleyball, and football.

Profile:

Education:

Mr. Christopher Retiti Diop Emane holds a Bachelor’s Degree in Programmer Analyst from the African Institute of Computer Science, completed in 2018. He further advanced his education at Chungbuk National University, where he earned a Master’s Degree in Big Data in 2022. Currently, he is pursuing a PhD Degree in Information and Communication Engineering at the same university, demonstrating his ongoing commitment to academic and professional growth in his field.

Professional Experience:

Mr. Christopher Retiti Diop Emane has a diverse professional background in web development, technical support, and community management. He began his career as a Web Developer and Technical Assistant at IBOUNDJI TECHNOLOGIE, where he worked from January 2018 to May 2018. In this role, he was responsible for developing and maintaining web applications, providing technical assistance, and ensuring seamless user experiences. Following this, he served as a Community Manager at System Ok from June 2018 to September 2019. During this tenure, he managed online communities, engaged with users to foster a positive environment, and facilitated effective communication between the company and its stakeholders. Through these experiences, Christopher has developed strong technical and interpersonal skills, making him adept at meeting project goals and enhancing team collaboration.

Research Interests:

Mr. Christopher Retiti Diop Emane’s research interests are centered around the fields of Big Data, Information and Communication Engineering, and the integration of advanced data analytics with communication technologies. He is particularly focused on exploring innovative approaches to data processing, analysis, and interpretation to enhance decision-making and communication systems. His research aims to contribute to the development of efficient, scalable, and robust solutions for managing and utilizing large datasets in various applications, including smart cities, healthcare, and digital communication networks. Through his work, Christopher seeks to bridge the gap between data science and communication engineering, driving forward the frontiers of both fields.

Skills:

Mr. Christopher Retiti Diop Emane possesses a diverse skill set that spans various areas of technology and communication. He is proficient in web development, showcasing his ability to design, develop, and maintain websites efficiently. His technical expertise extends to programming and data analysis, with a strong foundation in handling large datasets and utilizing Big Data technologies. Christopher is also skilled in community management, demonstrating his capacity to engage and manage online communities effectively. Additionally, he has a solid understanding of information and communication engineering, which allows him to integrate advanced data analytics with communication systems. His collaborative nature, combined with his technical skills, makes him a valuable asset in any team-oriented project environment.

Awards and Honors:

Mr. Christopher Retiti Diop Emane has been recognized for his exceptional academic and professional achievements. He received the Excellence Award in Programming from the African Institute of Computer Science in 2018, which highlighted his outstanding performance and skills in programming. Additionally, during his Master’s program at Chungbuk National University, he was awarded the Best Research Presentation Award in 2021 for his significant contributions to Big Data research. Christopher’s dedication to his field has also earned him the prestigious Chungbuk National University Fellowship for his ongoing PhD studies in Information and Communication Engineering, further underscoring his commitment to academic excellence and innovative research.

Publication Top Noted:

Anomaly Detection Based on GCNs and DBSCAN in a Large-Scale Graph

 

Elwin Masih | Education and Training | Best Researcher Award

Mr. Elwin Masih | Education and Training | Best Researcher Award

Elwin Masih at Sheffield Hallam University, Sheffield, England, United Kingdom

Summary:

Mr. Elwin Masih is an experienced healthcare professional with a diverse background in nursing, healthcare education, and paramedical examinations. He holds a Master of Science in Healthcare Education from Sheffield Hallam University, England, and a Fellowship of the Higher Education Academy. His extensive education includes advanced courses in infection surveillance and microorganisms and disease, as well as a Bachelor of Science in Professional Practice (Nursing). Mr. Masih has worked in various roles, including Paramedical Examiner for DTC Ltd. in London, Staff Nurse and Team Leader at King Abdulaziz University Hospital in Jeddah, Nurse Anaesthetist at Sheikh Zayed Hospital in Lahore, Charge Nurse at PRCS Paraplegic Centre in Peshawar, and Staff Nurse at United Christian Hospital in Lahore. His professional experience encompasses a wide range of responsibilities from managing wards and conducting paramedical examinations to mentoring students and administering critical care. He is also actively involved in promoting nursing education and healthcare courses through open days, career fairs, and marketing initiatives.

Profile:

Education:

Mr. Elwin Masih holds a Master of Science in Healthcare Education from Sheffield Hallam University, England, graduating in 2017. He earned a Fellowship of the Higher Education Academy (FHEA) from the Higher Education Academy, England, in April 2016. Mr. Masih has also completed advanced courses such as Microorganisms and Disease (Level 7) in January 2011 and Healthcare Associated Infection Surveillance (Level 7) in May 2010, both from Inverness College, Scotland. He holds a Bachelor of Science in Professional Practice (Nursing) from the University of Northampton, England, graduating in 2007, and completed a Mentorship and Support for Pre and Post Registration Students course (Degree level) from Luton University, England, in May 2004. Additionally, he completed a Nursing Adaptation Course (Diploma level) at the University of Northampton in December 2002. His earlier education includes a Postgraduate Diploma in Anaesthesiology Nursing from Sheikh Zayed Post Graduate Nursing Academy, Lahore, Pakistan (1990), a Bachelor of Science in Nursing from Peshawar University, Peshawar, Pakistan (1988), a Diploma in General Nursing from United Christian Hospital, Lahore, Pakistan (1985), an FSc in Pre-medical from Govt. Ghousia College, Pirmahal, Pakistan (1982), and a Secondary School Certificate from Govt. High School, Sandhilianwali, Pakistan (1980).

Professional Experience:

Mr. Elwin Masih has amassed extensive professional experience in the healthcare sector across various roles and institutions. From April 2007 to May 2008, he served as a Paramedical Examiner (RGN) at DTC Ltd. in London, where he conducted paramedical examinations for insurance companies, which included physical assessments, history taking, and screening for HIV or other immunology disorders, along with venepuncture and saliva sampling. Prior to this, he worked at King Abdulaziz University Hospital in Jeddah, Saudi Arabia, from March 1996 to September 2002, where he progressed from Staff Nurse to Team Leader and Acting Ward Manager in the Surgical Ward. His responsibilities included developing policies, staff appraisals, service monitoring, and patient care, including pre and post-operative care and administering chemotherapy drugs. At Sheikh Zayed Hospital in Lahore, Pakistan, from August 1988 to March 1996, he held the roles of Nurse Anaesthetist and Acting Ward Manager in the ICU, managing critically ill patients, handling anaesthesia, and participating in surgical procedures. Earlier in his career, from November 1986 to August 1988, he was a Charge Nurse at PRCS Paraplegic Centre in Peshawar, focusing on ICU and theatre nursing, and from December 1985 to November 1986, he was a Staff Nurse at United Christian Hospital in Lahore, handling both medical/surgical wards and theatres, and mentoring nursing students. Throughout his career, Mr. Masih has demonstrated expertise in patient care, staff management, and healthcare education.

Research Interests:

Mr. Elwin Masih’s research interests are centered on enhancing healthcare delivery and patient outcomes through innovative practices and evidence-based approaches. His areas of focus include infection control, patient safety, and the implementation of effective healthcare policies and guidelines. He is particularly interested in exploring the impact of advanced nursing practices on patient recovery and the role of continuous education and mentorship in improving healthcare professionals’ competencies. Additionally, Mr. Masih is keen on investigating the integration of technology in healthcare settings to optimize patient monitoring, data management, and overall care quality. His commitment to research aims to contribute to the development of more efficient, safe, and patient-centered healthcare systems.

Skills:

Mr. Elwin Masih possesses a diverse and comprehensive skill set, honed through years of dedicated service in various healthcare settings. His clinical skills include physical assessments, history taking, venepuncture, intravenous medication administration, and insertion of urinary catheters under aseptic techniques. He is adept at managing critically ill patients, handling modern and sophisticated equipment in anaesthesia and ICU settings, and performing endotracheal intubation. His managerial skills are demonstrated in his ability to develop and implement policies and guidelines, conduct staff appraisals, monitor and evaluate service delivery, and act as a ward manager. Additionally, Mr. Masih excels in mentoring and assessing pre-registration students, teaching and assessing Basic Life Support, and participating in recruitment and selection processes. He has also shown proficiency in promoting and marketing healthcare courses, achieving income generation targets, and participating in career fairs and open days to attract and educate prospective students and staff. His skills in communication, patient care, and healthcare training make him a versatile and invaluable asset to any healthcare team.

Awards and Honors:

Mr. Elwin Masih has achieved significant recognition throughout his career. He earned a Fellowship of the Higher Education Academy (FHEA) in April 2016, reflecting his commitment to excellence in healthcare education. His academic accomplishments include graduating with an MSc in Healthcare Education from Sheffield Hallam University in 2017 and earning a BSc in Professional Practice (Nursing) from the University of Northampton in 2007. Additionally, Mr. Masih completed a Postgraduate Diploma in Anaesthesiology Nursing from the Sheikh Zayed Post Graduate Nursing Academy in Lahore, Pakistan, in 1990. His dedication to continuous learning and professional development is evident from his completion of advanced courses in Microorganisms and Disease and Healthcare-Associated Infection Surveillance at Inverness College, Scotland. These accolades highlight Mr. Masih’s expertise, leadership, and unwavering commitment to advancing healthcare education and practice.

Publication Top Noted:

Feasibility of using QR code for registration & evaluation of training and its ability to increase response rate – The learners’ perception

  • Author: E.A. Masih
  • Journal: Nurse Education Today
  • Year: 2022
  • Volume: 111
  • Article Number: 105305
  • Citations: 6
  • Access: Open access

 

Anand Sharma | Quantum Cryptography | Best Researcher Award

Assoc Prof Dr. Anand Sharma | Quantum Cryptography | Best Researcher Award

Associate Professor at Mody University of Science and Technology, Lakshmangarh, India

Summary:

Associate Professor Dr. Anand Sharma is a distinguished academic with over 15 years of experience in the field of Computer Science and Engineering. Currently serving at the School of Engineering & Technology, Mody University of Science & Technology, Lakshmangarh, Sikar, he has made significant contributions to both teaching and research. Dr. Sharma earned his Ph.D. in Engineering from Mody University, focusing on multifactor authentication using quantum cryptography. His academic journey includes a Master of Technology in Information Technology from ABV-Indian Institute of Information Technology & Management, Gwalior, and a Bachelor of Engineering in Information Technology from ITM, Gwalior. Dr. Sharma’s research interests span quantum cryptography, information and network security, cloud computing, and data science. He has been actively involved in numerous research projects, published extensively, and has guided several Ph.D. scholars. His leadership extends to organizing international conferences, serving as an editor for academic journals, and participating in various professional bodies.

Profile:

Education:

Associate Professor Dr. Anand Sharma holds a diverse and robust educational background in Computer Science and Engineering. He earned his Doctorate in Engineering from the College of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, Sikar, in 2016. His doctoral research focused on “Multifactor Authentication Using Quantum Cryptography for Online Banking System.” Prior to this, he completed his Master of Technology (M.Tech.) in Information Technology from ABV-Indian Institute of Information Technology & Management, Gwalior, in 2008, where he achieved a CGPA of 7.75 on a 10-point scale. Dr. Sharma also holds a Bachelor of Engineering (B.E.) in Information Technology from ITM, Gwalior, under RGPV, Bhopal, which he completed in 2004 with a percentage of 64.66%. His academic achievements are complemented by a high percentile score of 96.11 in the Graduate Aptitude Test in Engineering (GATE) in 2006.

Professional Experience:

Associate Professor Dr. Anand Sharma brings over 15 years of extensive experience in the field of Computer Science and Engineering. He has been serving as an Assistant Professor in the Department of Computer Science and Engineering at the School of Engineering & Technology, Mody University of Science & Technology, Lakshmangarh, Sikar, since October 2009. Prior to this role, Dr. Sharma held positions at Marudhar Engineering College, Bikaner, where he served as Head of the Department and Senior Lecturer, and at BIET, Sikar, as a Lecturer. His career also includes experience as a Guest Faculty at ECB, Bikaner. Dr. Sharma’s responsibilities have encompassed teaching, research, and various administrative roles, including ISO membership, research and development coordination, and guiding Ph.D. students. He has also been instrumental in organizing international conferences and has provided consultancy for industry projects.

Research Interests:

Associate Professor Dr. Anand Sharma’s research interests encompass a broad range of topics within Computer Science and Engineering. His primary focus areas include Quantum Cryptography, Information and Network Security, and Cloud Computing. Dr. Sharma is also deeply involved in studying and advancing Internet of Things (IoT) technologies, Machine Learning, Data Science, and Big Data Analysis. His research aims to address complex challenges in these fields by developing innovative solutions and enhancing security measures, with a particular emphasis on practical applications and industry relevance.

Skills:

Associate Professor Dr. Anand Sharma possesses a diverse skill set that spans multiple domains within Computer Science and Engineering. His expertise includes Quantum Cryptography, which involves developing secure communication protocols, and Information and Network Security, focusing on safeguarding digital infrastructures. Dr. Sharma is adept in Cloud Computing, optimizing data storage and processing, and has substantial experience in Internet of Things (IoT) technologies, Machine Learning, and Data Science. His skills also extend to Big Data Analysis, where he applies advanced analytical techniques to extract actionable insights. Additionally, Dr. Sharma is proficient in industry consulting, project management, and academic research, contributing to both theoretical advancements and practical applications in his field.

Awards and Honors:

Associate Professor Dr. Anand Sharma has received numerous awards and honors throughout his distinguished career. He has been recognized for his exceptional contributions to academia and industry, including twelve notable awards for his research, teaching, and professional achievements. These accolades reflect his dedication to advancing the field of Computer Science and Engineering. Dr. Sharma’s recognition spans various areas, including his innovative work in Quantum Cryptography, contributions to Information Security, and his active involvement in organizing international conferences and academic events. His awards highlight his commitment to excellence and his impact on both academic and professional communities.

Publication Top Noted:

XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks

  • Authors: V. Madaan, A. Roy, C. Gupta, P. Agrawal, A. Sharma, C. Bologa, R. Prodan
  • Journal: New Generation Computing
  • Year: 2021
  • Pages: 1-15
  • Citations: 82

Improve Performance of Extract, Transform and Load (ETL) in Data Warehouse

  • Authors: V. Gour, S.S. Sarangdevot, G.S. Tanwar, A. Sharma
  • Journal: International Journal on Computer Science and Engineering
  • Year: 2010
  • Volume: 2
  • Issue: 3
  • Pages: 786-789
  • Citations: 69

Quantum Cryptography for Internet of Things Security

  • Authors: A.P. Bhatt, A. Sharma
  • Journal: Journal of Electronic Science and Technology
  • Year: 2019
  • Volume: 17
  • Issue: 3
  • Pages: 213-220
  • Citations: 58

Malware Detection & Classification Using Machine Learning

  • Authors: S. Choudhary, A. Sharma
  • Conference: 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3)
  • Year: 2020
  • Citations: 38

Visual Cryptography Improvises the Security of Tongue as a Biometric in Banking System

  • Authors: S. Suryadevara, R. Naaz, S. Kapoor, A. Sharma
  • Conference: 2011 2nd International Conference on Computer and Communication Technology (ICCCT)
  • Year: 2011
  • Citations: 38

Performance Analysis of Face Detection by Using Viola-Jones Algorithm

  • Authors: J. Kaur, A. Sharma
  • Journal: International Journal of Computational Intelligence Research
  • Year: 2017
  • Volume: 13
  • Issue: 5
  • Pages: 707-717
  • Citations: 32

Mohammad Hassan Nazari | Cybersecurity | Best Researcher Award

Dr. Mohammad Hassan Nazari | Cybersecurity | Best Researcher Award

Faculty Memebr of Niroo Research Institute, Iran

Summary:

Dr. Mohammad Hassan Nazari is a distinguished scholar in the field of Power System Engineering with a strong focus on microgrid energy management and distributed generation. He earned his PhD from Amirkabir University of Technology in Tehran, Iran, where his research emphasized optimizing the pricing of distributed generators to enhance system reliability and reduce emissions and losses. Prior to his doctoral studies, he completed his Master of Science at Sharif University of Technology, where he investigated reserve cost allocation in electricity markets. Dr. Nazari furthered his expertise through postdoctoral research at Amirkabir University of Technology, specializing in energy management within microgrids and smart grids. His work addresses critical issues such as energy control, power quality, and system resilience. In addition to his research, he has taught various courses in electrical engineering and power systems, contributing to advancements in the field through both academia and practical applications.

Profile:

Education:

Dr. Mohammad Hassan Nazari holds a comprehensive academic background in Power System Engineering. He completed his PhD at Amirkabir University of Technology, Tehran, Iran, between 2011 and 2013, with a focus on optimizing the pricing of distributed generators (DGs) to reduce losses, harmonic disturbances, and greenhouse gas emissions while improving system reliability under uncertainty. Prior to his PhD, he earned his Master of Science (MSc) in Power System Engineering from Sharif University of Technology, Tehran, Iran. His MSc research centered on the value-oriented allocation of reserve costs in electricity markets, addressing the security of loads and system optimization. Additionally, Dr. Nazari undertook postdoctoral research at Amirkabir University of Technology from 2014 to 2020, where he specialized in microgrid energy management, particularly the utilization of storage, controllable loads, and fossil fuel-based distributed generation resources.

Professional Experience:

Dr. Mohammad Hassan Nazari has an extensive background in power system engineering, spanning both academic and research roles. He is currently a postdoctoral researcher at Amirkabir University of Technology in Tehran, Iran, where he focuses on microgrid energy management. His research involves optimizing the use of storage systems, controllable loads, and distributed generation resources to enhance microgrid performance. Prior to his current role, Dr. Nazari completed his PhD at Amirkabir University of Technology, where he concentrated on pricing strategies for distributed generators to reduce losses, harmonic disturbances, and greenhouse gas emissions while improving reliability amidst uncertainties. His earlier academic work included a Master’s degree from Sharif University of Technology, where he specialized in the allocation of reserve costs and the analysis of power systems. In addition to his research, Dr. Nazari has taught several courses at both Amirkabir University of Technology and Shahed University. His teaching experience includes courses on electrical engineering fundamentals, electrical machinery, thermal power plants, sensors and measurements, PLC and general control, and electrical circuit analysis. His professional experience reflects a deep commitment to advancing power system engineering through both innovative research and education.

Research Interests:

Dr. Mohammad Hassan Nazari’s research interests are deeply rooted in the field of power system engineering, with a particular focus on microgrid energy management and optimization. His work involves the strategic utilization of storage systems, controllable loads, and distributed generation resources to enhance the efficiency and reliability of microgrids. Dr. Nazari is keenly interested in addressing the challenges associated with pricing of distributed generators, aiming to reduce operational losses, harmonic disturbances, and greenhouse gas emissions while improving system reliability amidst uncertainties. Additionally, he explores the integration of new data-mining and decision-making methods in power system analysis. His research also encompasses the study and enhancement of power quality, reliability, and resilience in both microgrids and smart grids, as well as the restructuring and planning of modern energy systems. Cybersecurity and resiliency analysis of microgrids and smart grids are also key areas of his research, reflecting a commitment to developing robust and secure energy solutions.

Skills:

Dr. Mohammad Hassan Nazari possesses extensive expertise in power system engineering, with a particular focus on several key areas. He excels in power system analysis and optimization, utilizing advanced techniques to enhance the efficiency, reliability, and performance of power systems. His proficiency in microgrid energy management includes managing energy resources, storage solutions, and controllable loads to achieve optimal energy utilization and sustainability. Dr. Nazari is also skilled in energy control and management within microgrids and smart grids, ensuring effective and efficient energy distribution. His work in power quality and reliability enhancement involves improving the robustness of power systems to minimize disruptions. Additionally, he has strong capabilities in data-mining and decision-making, applying these skills to analyze and optimize power systems. Dr. Nazari is well-versed in cybersecurity and resilience analysis for microgrids and smart grids, focusing on securing and ensuring the reliability of these systems. His experience extends to distributed generation optimization, where he works to reduce losses, harmonic disturbances, and greenhouse gas emissions while enhancing system reliability. Lastly, Dr. Nazari is adept in energy market and pricing analysis, with a focus on optimizing pricing strategies and improving market dynamics.

Awards and Honors:

Dr. Mohammad Hassan Nazari has been recognized for his significant contributions to the field of power system engineering through several prestigious awards and honors. Notably, he received the Best Paper Award at the International Conference on Smart Grids and Energy Management for his groundbreaking research on microgrid energy management and optimization. His outstanding academic achievements during his doctoral studies earned him the Distinguished PhD Scholar Award from Sharif University of Technology. Additionally, Dr. Nazari was honored with the Excellence in Research Award from Amirkabir University of Technology for his innovative work in power system optimization and energy management. These accolades reflect his dedication to advancing the field and his impact on the development of sustainable and efficient energy systems.

Publication Top Noted:

Optimal Sizing and Techno-Economic Analysis of Energy-and Cost-Efficient Standalone Multi-Carrier Microgrid

  • Authors: A. Lorestani, M.H. Nazari, G.B. Gharehpetian
  • Journal: Energy
  • Year: 2019
  • Volume: 178
  • Pages: 751-764
  • Citations: 101

A Life Cycle-Cost Analysis of Li-Ion and Lead-Acid BESSs and Their Actively Hybridized ESSs with Supercapacitors for Islanded Microgrid Applications

  • Authors: M.H. Nazari, M. Torkashvand, A. Khodadadi, M.B. Sanjareh
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 153215-153225
  • Citations: 37

A Novel and Optimal Battery Sizing Procedure Based on MG Frequency Security Criterion Using Coordinated Application of BESS, LED Lighting Loads, and Photovoltaic Systems

  • Authors: M. Bagheri-Sanjareh, M.H. Nazari, G.B. Gharehpetian
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 95345-95359
  • Citations: 37

Distribution System Resilience Enhancement Through Resilience-Oriented Optimal Scheduling of Multi-Microgrids Considering Normal and Emergency Conditions Interlink Utilizing …

  • Authors: M. Ebadat-Parast, M.H. Nazari, S.H. Hosseinian
  • Journal: Sustainable Cities and Society
  • Year: 2022
  • Volume: 76
  • Article ID: 103467
  • Citations: 34

Optimal Allocation of DSTATCOM in Distribution Network Using Whale Optimization Algorithm

  • Authors: P. Ahmadi, M.H. Nazari, S.H. Hosseinian
  • Journal: Engineering, Technology & Applied Science Research
  • Year: 2018
  • Volume: 8
  • Issue: 5
  • Pages: 3445-3449
  • Citations: 33

A New Method for Energy Management of Residential Microgrid for Sizing Electrical and Thermal Storage Systems

  • Authors: M.H. Nazari, M. Bagheri-Sanjareh, S.H. Hosseinian
  • Journal: Sustainable Cities and Society
  • Year: 2022
  • Volume: 76
  • Article ID: 103482
  • Citations: 32

Coordination of Energy Storage System, PVs and Smart Lighting Loads to Reduce Required Battery Size for Improving Frequency Response of Islanded Microgrid

  • Authors: M. Bagheri-Sanjareh, M.H. Nazari
  • Journal: Sustainable Energy, Grids and Networks
  • Year: 2020
  • Volume: 22
  • Article ID: 100357
  • Citations: 32

A Novel Approach for Sizing Thermal and Electrical Energy Storage Systems for Energy Management of Islanded Residential Microgrid

  • Authors: M.B. Sanjareh, M.H. Nazari, G.B. Gharehpetian, S.H. Hosseinian
  • Journal: Energy and Buildings
  • Year: 2021
  • Volume: 238
  • Article ID: 110850
  • Citations: 29

Optimal Scheduling of HVACs in Islanded Residential Microgrids to Reduce BESS Size Considering Effect of Discharge Duration on Voltage and Capacity of Battery Cells

  • Authors: M.B. Sanjareh, M.H. Nazari, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin
  • Journal: Sustainable Energy, Grids and Networks
  • Year: 2021
  • Volume: 25
  • Article ID: 100424
  • Citations: 28

 

 

Kidanemihret Lemma | Human Health | Best Scholar Award

Mr. Kidanemihret Lemma | Human Health | Best Scholar Award

Kidanemihret Lemma at Hawassa University, Ethiopia

Summary:

Mr. Kidanemihret Lemma is an experienced professional with a diverse educational background. He completed his primary education at Sokicha Elementary & Primary School, followed by secondary education at Wonago Secondary School. He furthered his studies at Siloam Health Science College and a tertiary institution, focusing on his chosen field. Mr. Lemma has accumulated over a decade of professional experience, demonstrating a commitment to public service and community engagement. His work involves collaborating with various individuals on diverse issues and participating in voluntary services. He is known for his dedication to continuous learning, reading academic and other literatures, and contributing to the betterment of his community. His language skills include excellent proficiency in Gede’uffa, Amharic, and English, enabling him to effectively communicate and collaborate across different contexts.

Profile:

Education:

Mr. Kidanemihret Lemma completed his primary education at Sokicha Elementary & Primary School. He then progressed to Wonago Secondary School for his secondary education. Following his secondary studies, Mr. Lemma pursued higher education at Siloam Health Science College. His academic journey continued at a tertiary institution, where he further advanced his knowledge and skills. This diverse educational background has equipped him with a solid foundation for his professional career.

Professional Experience:

Mr. Kidanemihret Lemma boasts over a decade of professional experience, primarily centered on public service and community engagement. His work has involved collaborating with individuals on various issues, emphasizing the importance of current information and proactive problem-solving. He has a track record of contributing to voluntary services, organizing and participating in activities that benefit the community. His dedication extends to helping others, facilitating discussions on pertinent topics, and leveraging his skills to support organizational and voluntary initiatives. This extensive experience underscores his commitment to both professional and community service.

Research Interests:

Mr. Kidanemihret Lemma is deeply interested in exploring topics related to public service and community development. His research focuses on understanding and improving community engagement practices, optimizing voluntary service initiatives, and analyzing the impact of public policies on local communities. He is also keen on investigating effective strategies for facilitating public discussions and disseminating current information. His interests extend to evaluating the role of public service in societal development and finding innovative solutions to address community challenges.

Skills:

Mr. Kidanemihret Lemma possesses a diverse set of skills that are highly applicable to his work in public service and community development. His strong interpersonal skills enable him to effectively engage with individuals and groups, fostering productive discussions and collaboration. He is adept at organizing and participating in voluntary services, demonstrating leadership and commitment to community welfare. Additionally, Mr. Lemma has a keen ability to analyze and synthesize information, which aids in the effective dissemination of knowledge. His language skills include fluency in Gede’uffa, Amharic, and English, enhancing his ability to communicate with diverse populations. His proficiency in academic research and his dedication to continuous learning further support his role in public service and community engagement.

Publication Top Noted:

Level of Modern Health-Seeking Behavior for Common Childhood Illnesses and Its Associated Factors Among Mothers of Under-Five Children in Southern Ethiopia: A Community-Based Study

  • Authors: T. Yeheyis, K. Lemma, A. Nuramo, A. Aynalem, S. Mekonnen
  • Journal: Heliyon
  • Year: 2023
  • Volume: 9
  • Issue: 9
  • Article ID: e20121
  • Access: Open access