Christopher Retiti Diop Emane | Anomaly Detection | Best Researcher Award

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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

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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

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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

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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

 

 

Kidanemihret Lemma | Human Health | Best Scholar Award

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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

 

 

Lakachew Binalf | Plant Pathology | Young Scientist Award

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Mr. Lakachew Binalf | Plant Pathology | Young Scientist Award

Lakachew Binalf at Debark University, Ethiopia

Summary:

Mr. Lakachew Binalf is a dedicated academic and researcher with extensive experience in plant science and pathology. He completed his primary education at Abima and Giraram Primary Schools, followed by high school at Debre Markos General High School. He continued his education at Debre Markos Preparatory School before earning a B.Sc. Degree in Plant Science with Very Great Distinction (CGPA = 3.97) from Debre Markos University. Mr. Binalf then obtained an M.Sc. Degree in Plant Pathology with Very Great Distinction (CGPA = 3.98) from Madda Walabu University, where his thesis on “Association Mapping of Septoria Tritici Blotch (Septoria tritici) Resistance in Bread Wheat in Bale and Arsi Highlands, Ethiopia” was awarded an Excellent rating (94.15%). Additionally, he holds a Higher Diploma Program (HDP) in Teachers Education from Debark University. Mr. Binalf has been a lecturer at Debark University since July 2018, where he teaches various courses, prepares teaching materials, conducts research, participates in community service activities, and advises students. Since July 2021, he has also served as the Head of the Plant Science Department. His research interests include plant breeding for disease resistance, traditional medicine for plant disease management, molecular plant pathology, agronomy, and horticulture. His notable publications include a review on the effect and management options for Septoria Tritici Blotch of Bread Wheat in the Journal of Natural Sciences Research and a research paper on the same topic in Heliyon. Mr. Binalf has undergone various training programs on research methodology, manuscript publication, leadership, and organizational ethics. He has also presented his research at national symposiums. Mr. Binalf is fluent in Amharic and English and possesses strong social and communication skills. He is proficient in software such as SAS, Minitab, TASSEL, and Microsoft Office. He is a member of the Ethiopian University Teachers Association (EUTA) and serves as a coordinator at the department level. In his personal time, Mr. Binalf enjoys listening to music, reading, writing poems and short stories, traveling, and nature photography.

Profile:

Education:

Mr. Lakachew Binalf began his educational journey at Abima Primary School in Debre Markos, Ethiopia (September 2007 to June 2009) and Giraram Primary School in Gozamin, Ethiopia (September 2001 to June 2007). He attended Debre Markos General High School (Nigus Tekle Haymanot) from September 2009 to June 2011, followed by Debre Markos Preparatory School (Debza) from September 2011 to June 2013. Mr. Binalf earned his B.Sc. Degree in Plant Science from Debre Markos University, graduating with Very Great Distinction (CGPA = 3.97) in June 2016. He further pursued an M.Sc. Degree in Plant Pathology at Madda Walabu University, where he also graduated with Very Great Distinction (CGPA = 3.98) in July 2018. His M.Sc. thesis, titled “Association Mapping of Septoria Tritici Blotch (Septoria tritici) Resistance in Bread Wheat (Triticum aestivum L.) in Bale and Arsi Highlands, Ethiopia,” received an excellent rating of 94.15%. Additionally, Mr. Binalf completed a Higher Diploma Program (HDP) in Teachers Education at Debark University on February 4, 2021.

Professional Experience:

Mr. Lakachew Binalf has been an integral part of the academic community at Debark University in Debark, Ethiopia, since July 2018. In his role as a lecturer, he delivers lectures and tutorials, prepares teaching materials for various courses, including Plant Pathology, Agricultural Microbiology, Seed Science and Technology, Plant Taxonomy, Management of Crop Diseases and Insect Pests of Economic Importance, Research Methods in Plant Science, Senior Research Proposal, and Senior Seminar. His responsibilities extend beyond teaching, as he is actively involved in conducting research, participating in community service activities, and serving on different committees. Additionally, he advises students and has held the position of Head of the Plant Science Department since July 2021. His commitment to education and research is evident in his contributions to the university and the broader academic community.

Research Interests:

Mr. Lakachew Binalf’s research interests encompass a range of critical areas in plant science. He is particularly focused on Plant Breeding for Disease Resistance, where he aims to develop, introduce, and select disease-resistant plant varieties. Additionally, he is interested in Traditional Medicine for Plant Disease Management, emphasizing the modern utilization of botanical plant extracts for managing plant diseases. His expertise extends to Molecular Plant Pathology, where he investigates the molecular mechanisms of plant-pathogen interactions. Furthermore, he has research interests in Agronomy and Horticulture, contributing to the broader understanding and improvement of plant cultivation and crop production.

Skills:

Mr. Lakachew Binalf possesses a diverse set of skills that enhance his professional and personal capabilities. He is proficient in Amharic, his mother tongue, with excellent listening, speaking, reading, and writing skills, and he is equally proficient in English. His social skills are evident through his active participation in volunteering activities and social committees, demonstrating his ability to interact effectively with others. He has strong communication skills, facilitating clear and effective exchanges of information. Mr. Binalf is highly cooperative in team settings, contributing to collaborative efforts with ease. His technical skills include proficiency in software such as SAS, Minitab, and TASSEL, alongside fundamental computer skills in Microsoft Office. These competencies make him a well-rounded professional in his field.

Publication:

Septoria Tritici Blotch (Septoria tritici) of Bread Wheat (Triticum aestivum L.): Effect and Management Options – A Review

  • Authors: Lakachew Binalf
  • Journal: Journal of Natural Sciences Research
  • Year: 2018

 

 

Sathiya R | Intrusion Detection | Best Researcher Award

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Mrs. Sathiya R | Intrusion Detection | Best Researcher Award

Sathiya R Thangavelu Engineering College, India

Summary:

Sathiya R is an experienced Assistant Professor with a robust academic and professional background in Information Technology. Currently serving at Thangavelu Engineering College, Chennai, Sathiya has held previous teaching positions at several esteemed institutions including Karpagam Institute of Technology, AVS College of Technology, Ganesh College of Engineering, and JKKN Institute of Engineering & Technology. Sathiya holds an M.E. degree in Information Technology from Anna University, Coimbatore, and a B.E. degree from Mahendra College of Engineering and Technology, Karur. With a strong foundation in programming languages such as C, Core Java, and Python, Sathiya also possesses expertise in web designing (HTML, CSS, JavaScript, ReactJS) and database management (Oracle). Sathiya’s skills extend to computer programming, web technology, problem-solving, object-oriented programming, and software testing.

Profile:

Education:

Sathiya R completed an M.E. degree in Information Technology from Anna University, Regional Centre, Coimbatore, with an impressive aggregate of 81%. Prior to this, Sathiya earned a B.E. degree in Information Technology from Mahendra College of Engineering and Technology, Karur, achieving an aggregate of 79%. Sathiya completed the 12th standard at Saraswathi Matric Higher Secondary School, Attur, with an aggregate of 85.40%. The 10th standard was completed at Green Park Matric Higher Secondary School, Attur, where Sathiya attained an aggregate of 75.40%.

Professional Experience:

Sathiya R has been serving as an Assistant Professor at Thangavelu Engineering College, Chennai, since February 1, 2022. Prior to this role, Sathiya worked as an Assistant Professor at Karpagam Institute of Technology, Coimbatore, from December 26, 2019, to January 27, 2022. Before that, Sathiya held a similar position at AVS College of Technology, Salem, from June 20, 2016, to July 15, 2019. Sathiya’s earlier experience includes a role as an Assistant Professor at Ganesh College of Engineering, Salem, from June 25, 2015, to May 23, 2016, and at JKKN Institute of Engineering & Technology, Salem, from August 24, 2013, to April 20, 2015.

Skills:

Sathiya R has a solid foundation in several programming languages and technologies. This includes basic proficiency in C, Core Java, and Python. In web designing, Sathiya is skilled in HTML, CSS, JavaScript, and ReactJS. Additionally, Sathiya has experience with database management using Oracle. The areas of expertise also cover computer programming, web technology, problem-solving with Python programming, object-oriented programming, and software testing.

Publications:

Swarm optimized differential evolution and probabilistic extreme learning based intrusion detection in MANET

Authors: Sathiya R, Yuvaraj D.N.

Citations: 0

Year: 2024

Enhancing the reliability of cloud data by implementing AES algorithm

Authors: Suganya N, Sathiya R, Ilamurugan G, Pavithra M, Karthikeyan C

Citations: 2

Year: 2021

 

 

Abdullahi Arabo | Malware Analysis | Best Researcher Award

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Assoc Prof Dr. Abdullahi Arabo | Malware Analysis | Best Researcher Award

Abdullahi Arabo University of the West of England, United Kingdom

Summary:

Dr. Abdullahi Arabo is an accomplished academic and researcher with extensive expertise in cyber science, network security, and educational pedagogy. Currently serving as an Associate Professor of Cyber Science at the University of the West of England, he is responsible for research, teaching, learning, and pedagogical development. Dr. Arabo mentors staff and students, contributes to strategic development and policy formation, and holds several leadership roles, including Programme Leader for the MSc Cyber Security. He has also engaged in consultancy roles with CEG Digital and Coventry University, where he mentors master and PhD students and helps develop inclusive and innovative curricula. Dr. Arabo has a rich history of academic involvement, previously serving as a Senior Lecturer and leader of various research units and programmes at the University of the West of England and a Sessional Tutor at WMG, Warwick University.

Profile:

Education:

Dr. Abdullahi Arabo earned his PhD in Network Security from Liverpool John Moore’s University, where he studied from 2007 to 2011. His thesis was titled “User-Centred and Context-Aware Identity Management in MANets.” Prior to this, he completed his MEng (Hons) in Computing at Swansea University from 2004 to 2007.

Professional Experience:

Dr. Abdullahi Arabo has been serving as an Associate Professor of Cyber Science at the University of the West of England since August 2023. In this role, he is responsible for research, teaching, learning, and pedagogical development. He mentors other staff, develops, and evaluates degree and research projects and programmes both internally and externally. Dr. Arabo contributes to various UWE strategic development, policies, and regulations by invitation. He also serves as a Quality Assurance Specialist and leads the UWE-wide Awarding Gap Community of Practice (CoP). Furthermore, he is a member of the APP Monitoring Group, the Artificial Intelligence in Education Working Group, and the Assessment Offence Officers Working Group, where he leads a sub-group on AI in Assessment Offences. Dr. Arabo is also a member of CREC CATE, an elected UWE Academic Board Member representing teaching staff for the college on the Learning, Teaching, and Student Experience Committee, responsible for academic governance, academic standards, and the quality of the student experience. Additionally, he is a member of the School Board of Studies and the Programme Leader for the MSc Cyber Security. Since May 2023, Dr. Arabo has been engaged with CEG Digital in a consultancy role, mentoring master students and contributing to pedagogy developments for other universities partnered with CEG. This role also involves mentoring PhD students and contributing to other offerings from CEG. From April 2023 to November 2023, he consulted with Coventry University, mentoring master cyber security students and assisting university staff in delivering an up-to-date, inclusive, and innovative curriculum, sharing his practices to enhance the wider education sector. Previously, from 2013 to July 2023, Dr. Arabo was a Senior Lecturer in Computer Networks and Mobile at the University of the West of England, where he led the Cyber Security Research Unit Programme (CSRU), now UWECyber. He was also the Leader of the BSc (Hons) Enterprise Computing and played a significant role in developing the MSc Cyber Security programme. He was actively involved in teaching, research, knowledge exchange, and outreach activities and initiatives. Between 2021 and February 2023, Dr. Arabo served as a Sessional Tutor at WMG, Warwick University, supervising MSc Cyber Security Engineering projects. This consultancy was by invitation and provided a transformative learning experience for the four students he mentored and WMG as a whole. Since 2021, Dr. Arabo has been involved with NCC Education in a consultancy role, contributing to content development for the cloud virtualisation and security module, delivery, partnership development, and accreditations.

Awards:

Dr. Abdullahi Arabo has received several prestigious awards in recognition of his contributions to the field of cyber security and education. Notably, he has been honored with the Most Cited Papers award for his impactful research publications. Additionally, he has received the Best Paper award at conferences, acknowledging the excellence and significance of his research work. These accolades reflect Dr. Arabo’s commitment to advancing knowledge and practice in his field.

Patents:

Dr. Abdullahi Arabo holds several patents in the field of network security. He, along with F. El-Mousa and T. Dimitrakos, was granted patents for “Sandboxing User Access on Mobile Device” with EU filing numbers E01733 and E01733b. Additionally, Dr. Arabo and his colleagues have a pending patent titled “Sandboxing Mobile Behaviour Based on Running Environment” in the United Kingdom, with filing number A32401, which was issued in February 2013 and is awaiting a decision.

Publications:

COVID-19 pandemic cybersecurity issues

Authors: B Pranggono, A Arabo

Citations: 269

Year: 2021

Mobile malware and smart device security: Trends, challenges and solutions

Authors: A Arabo, B Pranggono

Citations: 91

Year: 2013

Cyber security challenges within the connected home ecosystem futures

Authors: A Arabo

Citations: 78

Year: 2015

Detecting ransomware using process behavior analysis

Authors: A Arabo, R Dijoux, T Poulain, G Chevalier

Citations: 70

Year: 2020

Privacy in the age of mobility and smart devices in smart homes

Authors: A Arabo, I Brown, F El-Moussa

Citations: 69

Year: 2012

MIAEC: Missing data imputation based on the evidence chain

Authors: X Xu, W Chong, S Li, A Arabo, J Xiao

Citations: 46

Year: 2018

Identity management in the internet of things: The role of MANETs for healthcare applications

Authors: C Chibelushi, A Eardley, A Arabo

Citations: 39

Andrei Sukhov | Intrusion Detection | Best Research Paper in Cybersecurity

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Prof. Andrei Sukhov | Intrusion Detection | Best Research Paper in Cybersecurity

Professor at Samara National Research University, Russia

Summary:

Prof. Andrei Sukhov is a prominent scholar with extensive expertise in theoretical physics, telecommunications, and network technologies. He completed his undergraduate studies at the Physics and Mathematics Faculty of the Kuibyshev State Pedagogical Institute and pursued postgraduate research at Moscow State Pedagogical University, culminating in a Candidate of Physical and Mathematical Sciences degree in 1993. Furthering his academic credentials, he earned a Doctor of Technical Sciences degree in telecommunication systems and computer networks from Moscow State University of Electronics and Mathematics (now MIEM HSE) in 2008. Prof. Sukhov has held significant academic and professional roles, including Assistant Professor, Senior Lecturer, and Associate Professor at various institutions, culminating in his current positions as a Professor at Samara University and the School of Computer Engineering, HSE University. He has also made notable contributions to the telecommunications sector through roles such as Technical Director of the Samara Regional Network for Science and Education and Director of LLC SPC “Internet TV.” With a robust research portfolio focused on network security, computer networks, and telecommunication systems, Prof. Sukhov has supervised numerous postgraduate students and is a Senior Member of the Association for Computing Machinery (ACM) and an IEEE member. His contributions to both academia and industry reflect his commitment to advancing knowledge and technology in his fields of expertise.

Profile:

Education:

Prof. Andrei Sukhov completed his undergraduate studies at the Physics and Mathematics Faculty of the Kuibyshev State Pedagogical Institute, graduating in 1987. He continued his academic journey with postgraduate studies at Moscow State Pedagogical University from 1990 to 1993. During this period, he earned his Candidate of Physical and Mathematical Sciences degree in theoretical physics from the Research Center for the Study of Surface Properties and Vacuum, Gosstandart, in 1993. Further advancing his expertise, Prof. Sukhov obtained his Doctor of Technical Sciences degree in telecommunication systems and computer networks from Moscow State University of Electronics and Mathematics (now MIEM HSE) in 2008.

Professional Experience:

Prof. Andrei Sukhov boasts a distinguished career in both academia and industry. He began his academic journey as an Assistant at the Department of Theoretical Physics at Kuibyshev Pedagogical Institute (1987-1990), advancing to a Senior Lecturer role at Samara Pedagogical Institute (1993-1996). He furthered his research as a Senior Researcher at Samara State University (1994-1996) before serving as an Associate Professor at Samara State Aerospace University (1996-2001). Prof. Sukhov played a pivotal role as Head of the Laboratory of Network Technologies at SamGAPS (SamIIT) from 2001 to 2007. Since 2008, he has been a Professor at Samara University, contributing significantly to the Department of Supercomputers and General Informatics. His expertise is further recognized through his role as a Professor at the School of Computer Engineering, HSE University, since October 2019. In addition to his academic positions, Prof. Sukhov has made substantial contributions to the telecommunications sector, founding Samara Internet LLC, serving as Technical Director of the Samara Regional Network for Science and Education, and holding leadership roles at OOO “Polyus” and LLC SPC “Internet TV.” His professional experience reflects a deep commitment to advancing telecommunications and network technologies.

Research Interests:

Prof. Andrei Sukhov’s research interests encompass a wide range of topics within network security, computer networks, and telecommunication systems. He focuses on advancing the security and efficiency of network infrastructures, investigating novel methods to enhance the protection and reliability of computer networks. His work also explores the integration of telecommunication systems with scientific research, aiming to improve information support and facilitate cutting-edge developments in the field. Additionally, Prof. Sukhov examines investments in the telecommunications sector, analyzing their impact on technological advancement and infrastructure development. His research contributions are driven by a commitment to addressing both theoretical and practical challenges in these critical areas.

Skills:

Prof. Andrei Sukhov possesses a diverse skill set that enhances his expertise in theoretical physics, telecommunications, and network technologies. He is proficient in advanced research methodologies and analytical techniques essential for network security and computer network design. His technical skills include a deep understanding of telecommunication systems and their integration with scientific research. Prof. Sukhov is adept at managing and developing communication networks, having held significant roles in both academia and industry. His experience extends to supervising and mentoring students, as well as leading complex research projects. Additionally, his leadership skills are demonstrated through his roles in founding and directing telecommunications ventures, reflecting his ability to drive innovation and technological advancement in the field.

Publications:

AGRA: AI-augmented geographic routing approach for IoT-based incident-supporting applications

  • Authors: D Chemodanov, F Esposito, A Sukhov, P Calyam, H Trinh, Z Oraibi
  • Journal: Future Generation Computer Systems
  • Year: 2019
  • Volume: 92
  • Pages: 1051-1065
  • Citations: 41

Generating a function for network delay

  • Authors: AM Sukhov, MA Astrakhantseva, AK Pervitsky, SS Boldyrev, AA Bukatov
  • Journal: Journal of High Speed Networks
  • Year: 2016
  • Volume: 22
  • Issue: 4
  • Pages: 321-333
  • Citations: 33

Network attack detection at flow level

  • Authors: AA Galtsev, AM Sukhov
  • Conference: Conference on Smart Spaces
  • Year: 2011
  • Pages: 326-334
  • Citations: 33

Towards an analytical model for characterising behaviour of high-speed VVoIP applications

  • Authors: S Andrei, C Prasad, D Warren, I Alexander
  • Journal: CMST
  • Year: 2005
  • Volume: 11
  • Issue: 2
  • Pages: 161-167
  • Citations: 30

A constrained shortest path scheme for virtual network service management

  • Authors: D Chemodanov, F Esposito, P Calyam, A Sukhov
  • Journal: IEEE Transactions on Network and Service Management
  • Year: 2018
  • Volume: 16
  • Issue: 1
  • Pages: 127-142
  • Citations: 28

Rank distribution for determining the threshold values of network variables and the analysis of DDoS attacks

  • Authors: AM Sukhov, ES Sagatov, AV Baskakov
  • Journal: Procedia Engineering
  • Year: 2017
  • Volume: 201
  • Pages: 417-427
  • Citations: 18

Simulation technique for available bandwidth estimation

  • Authors: TG Sultanov, AM Sukhov
  • Conference: 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation
  • Year: 2010
  • Pages: 1-6
  • Citations: 18

Active flows in diagnostic of troubleshooting on backbone links

  • Authors: AM Sukhov, DI Sidelnikov, AP Platonov, MV Strizhov, AA Galtsev
  • Journal: Journal of High Speed Networks
  • Year: 2011
  • Volume: 18
  • Issue: 1
  • Pages: 69-81
  • Citations: 16