Mohammad Hassan Nazari | Cybersecurity | Best Researcher Award

Posted on by ScienceFather

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

 

 

Naresh E | Intrusion Detection | Best Researcher Award

Posted on by ScienceFather

Dr. Naresh E, Intrusion Detection, Best Researcher Award


Doctorate at Manipal Academy of Higher Education, India

Dr. Naresh E is a distinguished academic professional currently serving as an Assistant Professor (Selection Grade) in the Department of Information Technology at Manipal Institute of Technology, Bengaluru, MAHE since June 1, 2022. He previously held a long-term position as an Assistant Professor in the Department of Information Science and Engineering at M S Ramaiah Institute of Technology, Bengaluru, from August 2008 to May 2022. Dr. Naresh completed his Ph.D. in Information Technology from JAIN (Deemed-to-be University) in 2020. He holds an M.Tech from M S Ramaiah Institute of Technology, Bangalore, and a B.E. from Proudadevaraya Institute of Technology, Bellary, both affiliated with VTU. With expertise in subjects like Software Testing, Software Engineering, and Data Mining, Dr. Naresh has successfully secured several funded projects, including grants from ISRO and VGST. He holds seven patents and has various professional certifications, including Apple Certified Trainer and IBM Certified Database Associate. Additionally, Dr. Naresh has completed numerous Coursera certifications from prestigious universities.

Profile:

Education:

Dr. Naresh E has an impressive academic background. He earned his Ph.D. in Information Technology from JAIN (Deemed-to-be University) in 2020. Prior to that, he completed his M.Tech in Information Technology from M S Ramaiah Institute of Technology, Bangalore (VTU) in 2008. His academic journey began with a B.E. in Information Technology from Proudadevaraya Institute of Technology, Bellary (VTU), which he completed in 2005.

Professional Experience:

Dr. Naresh E has an extensive professional background in academia, currently serving as an Assistant Professor (Selection Grade) in the Department of Information Technology at Manipal Institute of Technology, Bengaluru, MAHE, a role he has held since June 1, 2022. Before this, he accumulated substantial experience at M S Ramaiah Institute of Technology, Bengaluru, where he served as an Assistant Professor in the Department of Information Science and Engineering from August 14, 2008, to May 30, 2022. Over these years, Dr. Naresh has demonstrated a commitment to education and research, teaching a variety of subjects including Software Testing, Software Engineering, DBMS, Digital Systems, Operating Systems, and Data Mining. His dedication to fostering academic excellence is further exemplified by his involvement in several funded projects, consultancy works, and his numerous professional and Coursera certifications.

Research Interest:

Dr. Naresh E’s research interests encompass a wide array of topics within the field of Information Technology. He is particularly focused on Software Testing and Software Engineering, exploring innovative methodologies to enhance software quality and reliability. Additionally, his research delves into Data Mining, examining techniques for extracting valuable insights from large datasets. Dr. Naresh is also interested in Software Metrics and Measurements, investigating quantitative methods for assessing software performance and efficiency. Furthermore, his work on Software Architecture and Design Patterns aims to improve the structural design of software systems. Through his research, Dr. Naresh strives to contribute to advancements in these areas, driving improvements in both academic and practical applications of Information Technology.

Subjects Handled:

Dr. Naresh E has handled a comprehensive array of subjects, including Software Testing, Software Engineering, DBMS, Digital Systems, Operating Systems, Intellectual Property Rights, Computer Ethics, Software Metrics and Measurements, Object-Oriented Analysis and Design (OOAD), Software Architecture and Design Patterns, Data Mining, Management and Entrepreneurship, among others.

Achievements:

Dr. Naresh E has a commendable list of achievements, particularly in securing funded projects, engaging in consultancy works, and obtaining professional certifications. He was awarded Rs. 16,94,880 for the ISRO Respond Basket project on June 23, 2022. Additionally, he received a VGST Research Grant for Faculty of Rs. 3,00,000 on August 18, 2021, and an IEEE-CIS grant of $2000 (Rs. 1,46,500) for a High-school Outreach Programme on October 8, 2020. In the realm of consultancy, Dr. Naresh collaborated with TechMachinery Labs, earning Rs. 50,000 from February 2021 to May 2021, and provided his expertise to M S Ramaiah Hospitals, earning Rs. 25,000 during the 2020-21 period. Demonstrating his proactive approach, Dr. Naresh has applied for several funding projects, including DST-FIST (52L), AICTE-MODROB (20L), VTU Research Grant (15.69L), VGST (2L), and RIT-SEED Money (5.57L). He also holds seven granted patents, underscoring his innovative contributions to the field. Dr. Naresh has attained multiple professional certifications, such as Apple Certified Trainer (ACT) for Lion 101, Apple Certified Support Professional (ACSP) for Lion 101, IBM Certified Rational Functional Tester, and IBM Certified Database Associate, further highlighting his expertise and commitment to continuous professional development.

Publications:

Predicting stock price using sentimental analysis through twitter data

  • Authors: NN Reddy, E Naresh, VK BP
  • Year: 2020
  • Citations: 19
  • Conference: 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
  • Pages: Not specified

Share Price Prediction using Machine Learning Technique

  • Authors: B Jeevan, E Naresh, BPV Kumar, P Kambli
  • Year: 2018
  • Citations: 18
  • Conference: 2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)
  • Pages: Not specified

The Impact of Test-Driven Development on Software Defects and Cost: A Comparative Case Study

  • Authors: DM Naresh E, Vijaya Kumar BP, Rayudu
  • Year: 2014
  • Citations: 16
  • Journal: International Journal of Computer Engineering and Technology (IJCET)
  • Volume: 5
  • Issue: 2
  • Pages: Not specified

Impact of Machine Learning in Bioinformatics Research

  • Authors: E Naresh, BPV Kumar, SP Shankar, Ayesha
  • Year: 2020
  • Citations: 15
  • Book: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
  • Pages: Not specified

A Novel Testing Methodology to Improve the Quality of Testing a GUI Application

  • Authors: NESK Kalaskar
  • Year: 2013
  • Citations: 15
  • Journal: MSRJETR
  • Volume: 1
  • Issue: 1
  • Pages: 41-46

Challenges and Issues in Test Process Management

  • Authors: VKBP Naresh E, M
  • Year: 2019
  • Citations: 14
  • Journal: Journal of Computational and Theoretical Nanoscience
  • Volume: 16
  • Issue: 9
  • Pages: 3744-3747

Survey on test generation using machine learning technique

  • Authors: VKBP Naresh E, MDN
  • Year: 2019
  • Citations: 11
  • Journal: International Journal of Recent Technology and Engineering
  • Volume: 7
  • Issue: 6s
  • Pages: 562-566

Drag reduction over a circular cylinder

  • Authors: E Naresh, PD Kumar, BNGA Kumar, BN Goud
  • Year: 2017
  • Citations: 11
  • Journal: International Journal of Civil Engineering and Technology
  • Volume: 8
  • Issue: 8
  • Pages: 1334-1345

Innovative Approaches in Pair Programming to Enhance the Quality of Software Development

  • Authors: VKBP Naresh E
  • Year: 2018
  • Citations: 6
  • Journal: International Journal of Information Communication Technologies and Human Development
  • Volume: Not specified
  • Issue: Not specified
  • Pages: Not specified

 

Guowen Xu | Commputer Security | Best Researcher Award

Posted on by ScienceFather

Prof. Guowen Xu, Commputer Security,  Best Researcher Award


Professor at University of Electronic Science and Technology of China, China

Prof. Guowen Xu is a renowned expert in cyberspace security, currently serving as a Professor at the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). He holds a Ph.D. in Cyberspace Security from UESTC, where he was supervised by IEEE Fellow Prof. Hongwei Li. He also completed a visiting Ph.D. program at Singapore Management University under the guidance of IEEE Fellow Prof. Robert H. Deng. Prof. Xu has held research fellow positions at Nanyang Technological University and postdoctoral positions at City University of Hong Kong, where he worked with IEEE Fellow Prof. Yuguang Fang. His research interests include applied cryptography, computer security, and AI security and privacy. He has received numerous accolades for his work, including being named one of the Stanford World’s Top 2% Scientists in 2023 and winning several best paper awards at prestigious conferences. Prof. Xu’s contributions to the field have been recognized internationally, and he continues to influence the development of advanced security technologies.

Profile:

Education:

Ph.D. in Cyberspace Security (2015/09 – 2020/12)

  • School of Computer Science and Engineering, UESTC
  • Supervisor: Prof. Hongwei Li (IEEE Fellow)

Visiting Ph.D. in Cyberspace Security (2019/08 – 2020/08)

  • School of Information Systems, Singapore Management University
  • Supervisor: Prof. Robert H. Deng (IEEE Fellow)

Bachelor of Information and Computing Science (2010/09 – 2014/06)

  • School of Mathematical and Physical Science, Anhui Jianzhu University (AHJZU)

Professional Experience:

Prof. Guowen Xu has a distinguished professional background in the field of cyberspace security. He is currently a Professor at the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC), a position he has held since October 2024. Prior to this, he served as a Postdoctoral Fellow at the Department of Computer Science at City University of Hong Kong from May 2023 to October 2024, where he worked under the supervision of IEEE Fellow Prof. Yuguang Fang. Before his postdoctoral fellowship, Prof. Xu was a Research Fellow at the School of Computer Science and Engineering at Nanyang Technological University in Singapore from March 2021 to May 2023. His early academic career includes a visiting Ph.D. program at Singapore Management University from August 2019 to August 2020, supervised by IEEE Fellow Prof. Robert H. Deng. Prof. Xu’s extensive research experience and collaborations with leading scholars have significantly contributed to his expertise in applied cryptography, computer security, and AI security and privacy.

Research Interest:

Prof. Guowen Xu’s research interests are centered around the fields of applied cryptography, computer security, and AI security and privacy. His work focuses on developing innovative cryptographic techniques to enhance data security and privacy, particularly in the context of complex and evolving cyber threats. In the realm of computer security, he explores robust mechanisms to safeguard systems and networks from vulnerabilities and attacks. Additionally, Prof. Xu is deeply invested in the security and privacy aspects of artificial intelligence, investigating methods to protect AI systems from adversarial threats and ensure the ethical use of AI technologies. His interdisciplinary approach aims to address the pressing security challenges of the digital age, contributing to the advancement of safer and more resilient technological environments.

Awards and Honors:

  • 2023 Stanford World’s Top 2% Scientists
  • 2023 IEEE BigDataSecurity Best Paper Award
  • 2022-2024 Distinguished Reviewer of ACM Transactions on the Web
  • 2022 ECCV Online Registration Waiver Award
  • 2021 Wu Wenjun First Prize of Artificial Intelligence Science and Technology Progress
  • 2021 Outstanding Graduate Student of UESTC
  • 2021 Outstanding Graduate Student in Sichuan Province
  • 2021 IEEE INFOCOM Student Conference Award
  • 2020 IEEE ICPADS Best Paper Award
  • 2020 National Scholarship of Graduate Student (MOE of PRC, Top 1%)
  • 2020 First-class Scholarship of Graduate Student (UESTC, Top 1%)
  • 2019 SCF Best Student Paper Award (Sichuan Province Computer Federation)
  • 2019 National Scholarship of Graduate Student (MOE of PRC, Top 1%)
  • 2019 First-class Scholarship of Graduate Student (UESTC, Top 1%)
  • 2018 Network Security Scholarship of China Internet Development Foundation
  • 2018 National Scholarship of Graduate Student (MOE of PRC, Top 1%)
  • 2018 First-class Scholarship of Graduate Student (UESTC, Top 1%)
  • 2018 First-class Scholarship of Shenzhen Huiding Technology Co., Ltd (Top 1%)
  • 2018-2020 Excellent Student Award (UESTC)
  • 2018-2020 Excellent Graduate Student (UESTC)
  • 2016 Excellence Award of National Cipher Technology Competition

Publication Top Noted:

VerifyNet: Secure and Verifiable Federated Learning

  • Authors: G. Xu, H. Li, S. Liu, K. Yang, X. Lin
  • Journal: IEEE Transactions on Information Forensics and Security
  • Volume: 15
  • Pages: 911-926
  • Citations: 570
  • Year: 2020

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

  • Authors: M. Hao, H. Li, X. Luo, G. Xu, H. Yang, S. Liu
  • Journal: IEEE Transactions on Industrial Informatics
  • Volume: 16
  • Issue: 10
  • Pages: 6532-6542
  • Citations: 472
  • Year: 2019

Enabling Efficient and Geometric Range Query with Access Control over Encrypted Spatial Data

  • Authors: G. Xu, H. Li, Y. Dai, K. Yang, X. Lin
  • Journal: IEEE Transactions on Information Forensics and Security
  • Volume: 14
  • Issue: 4
  • Pages: 870-885
  • Citations: 192
  • Year: 2018

Towards Efficient and Privacy-Preserving Federated Deep Learning

  • Authors: M. Hao, H. Li, G. Xu, S. Liu, H. Yang
  • Conference: ICC 2019 – IEEE International Conference on Communications
  • Pages: 1-6
  • Citations: 178
  • Year: 2019

Privacy-Enhanced Federated Learning against Poisoning Adversaries

  • Authors: X. Liu, H. Li, G. Xu, Z. Chen, X. Huang, R. Lu
  • Journal: IEEE Transactions on Information Forensics and Security
  • Citations: 158
  • Year: 2021