Mohammad Hassan Nazari | Cybersecurity | Best Researcher Award

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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

 

 

Pilsung Choe | Mobile Commerce Security | Best Researcher Award

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Dr. Pilsung Choe | Mobile Commerce Security | Best Researcher Award

Associate Professor, Qatar University, Qatar

Dr. Pilsung Choe, a distinguished Associate Professor at Qatar University in Qatar, has been honored with the prestigious Best Researcher Award for his groundbreaking work in Mobile Commerce Security. 🏆 His dedication and expertise have significantly contributed to advancing the field, ensuring the safety and integrity of mobile transactions in an increasingly digital world. Dr. Choe’s innovative research stands as a beacon of excellence, inspiring fellow academics and industry professionals alike. With his ongoing commitment to excellence, he continues to pave the way for enhanced security measures in mobile commerce, shaping the future of digital transactions.

Profile

Orcid

Education

Dr. Pilsung Choe’s illustrious academic journey is marked by a Ph.D. in Industrial Engineering from Purdue University, IN, USA (2007), where he laid the foundation for his exemplary career. 🎓 Prior to this, he earned an M.S. from the Department of Industrial Engineering at POSTECH (Pohang University of Science and Technology), S. Korea (1995), and a B.S. from Hanyang University, Seoul, South Korea (1992). His commitment to education dates back to his formative years at Haeundae High School in Busan, S. Korea (1988). This diverse educational background has equipped Dr. Choe with a breadth of knowledge and expertise that he brings to his role as an Associate Professor at Qatar University.

Employment

Dr. Pilsung Choe’s distinguished career spans academia and industry, reflecting his multifaceted expertise and dedication to advancing the field of Industrial Engineering. As an Associate Professor, he currently holds a prominent position at Qatar University, Doha, Qatar (since 2014), where he enriches the Industrial and Systems Engineering Program. 🎓 Prior to this, he served as an Associate Professor at Northeastern University, Shenyang, China, and Tsinghua University, Beijing, China. His academic journey includes impactful roles at Purdue University, IN, USA, where he contributed as a Visiting Assistant Professor and engaged in post-doctoral research. Dr. Choe’s industry experience at Samsung Electronics, Seoul, South Korea, further enriches his perspective, having held managerial and research positions.

Research Areas

Dr. Pilsung Choe’s expertise spans a diverse range of fields, encompassing user interactions, human factors and ergonomics, and engineering management. With a focus on user-centered design, he excels in areas such as user experience, human-computer interactions, and information design, ensuring products and systems are optimized for usability and effectiveness. 🖥️ In human factors and ergonomics, Dr. Choe delves into aspects of safety, human information processing, and understanding human behavior, crucial for designing environments conducive to human well-being and productivity. Additionally, his proficiency in engineering management is evident through his adeptness in decision-making methodologies, Bayesian statistics, and techniques like AHP and statistical quality management, essential for efficient and effective project management and optimization

Publications Top Notes

Independent User Circular Behaviors and Their Motivators and Barriers: A Review 🔄 (2022) – Sustainability DOI: 10.3390/su142013319

COVID-19 Vaccine Willingness and Hesitancy Among Residents in Qatar: A Quantitative Analysis Based on Machine Learning 💉 (2022) – Journal of Human Behavior in the Social Environment DOI: 10.1080/10911359.2021.1973642

Increasing Customer Trust Towards Mobile Commerce in a Multicultural Society: A Case of Qatar 📱 (2020) – Journal of Internet Commerce DOI: 10.1080/15332861.2019.1695179

 

 

 

 

Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

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Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

Assistant Professor at Intrusion Detection and Prevention, The National Institute of Engineering, Mysuru, India

Sharmila B S is currently pursuing a Ph.D. focusing on Network Security for IoT devices. Their research interests primarily lie in Network Security, Internet of Things (IoT), and Artificial Intelligence (AI). With 7 years of combined teaching and industry experience, Sharmila has also delivered talks on Python, AI, and IoT for technical talks and workshops.

Professional profiles

🎓Education:

Sharmila B S completed their academic qualifications as follows: a Ph.D. from the Department of ECE at the National Institute of Engineering, Mysuru, under Visweshwaraiah Technological University in 2018; an MTech in VLSI Design & Embedded Systems from SJCE, Mysore; and a BE in E&C from Kalpataru Institute of Technology, Tiptur, both under Visweshwaraiah Technological University, obtained in 2013 and 2011 respectively.

👩‍🏫Professional Experience:

Sharmila B S has professional experience as an Assistant Professor at the National Institute of Engineering, Mysuru, from July 25, 2016, to the present. Prior to this, they worked as a Lecturer at the same institute from July 27, 2015, to June 26, 2016. Before joining the National Institute of Engineering, Sharmila was an Assistant Professor at PESITM, Shivamogga, from July 21, 2014, to June 30, 2015. They also have internship experience at LG Soft India, Bangalore, from July 11, 2012, to December 31, 2013.

Subjects Taught:

Sharmila B S has taught a range of subjects, including Internet of Things, Data Structures using C++, Information Theory and Network Security, Embedded Systems, and Fundamentals of CMOS VLSI.

Publications:

“Intrusion Detection System using Naive Bayes algorithm” by BS Sharmila, R Nagapadma, published in the 2019 IEEE International WIE Conference on Electrical and Computer, with 24 citations in 2019.

“Comparison of time complexity in median filtering on multi-core architecture” by BS Sharmila, N Kaulgud, published in the 2017 3rd International Conference on Advances in Computing, Communication, with 2 citations in 2017.

“Multi Core DNN based IDS for Botnet Attacks using KPCA Reduction Techniques” by BS Sharmila, R Nagapadma, published in 2021.

“Design of memristor based multiplier” by N Jagan, U NS, S Kouser, published in the International Research Journal of Engineering and Technology, 6(1), 2019.

“Optimizing Deep Learning Networks for Edge Devices with an Instance of Skin Cancer and Corn Leaf Disease Dataset” by BS Sharmila, HS Santhosh, S Parameshwara, MS Swamy, WH Baig, published in SN Computer Science, 4(6), 793, 2023.

“QAE-IDS: DDoS anomaly detection in IoT devices using Post-Quantization Training” by BS Sharmila, R Nagapadma, published in Smart Science, 11(4), 774-789, 2023.

“Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset” by BS Sharmila, R Nagapadma, published in Cybersecurity, 6(1), 41, 2023.

“P‐DNN: Parallel DNN based IDS framework for the detection of IoT vulnerabilities” by S BS, R Nagapadma, published in Security and Privacy, e330, 2023.

“KNN classification using multi-core architecture for intrusion detection system” by BS Sharmila, R Nagapadma, published in the Communication and Computing Systems: Proceedings of the 2nd International Conference.