Fekadu Abera | Cybersecurity | Best Researcher Award

Mr. Fekadu Abera | Cybersecurity | Best Researcher Award

Lecturer at Oda Bultum University, Ethiopia

Summary:

Mr. Fekadu Abera is a dedicated nursing lecturer and community worker from Ethiopia, specializing in Adult Health Nursing. With a Bachelor of Science in Nursing from Hawassa University, he has accumulated over four years of experience in academia and healthcare. Currently serving as a lecturer at Oda Bultum University, he focuses on educating university students while also providing care to the elderly population in managed and long-term care settings. His research interests include diabetes management, spiritual well-being in cancer patients, and public health issues such as the effects of khat chewing among pregnant women. Mr. Abera is committed to enhancing patient care and community health through his teaching, research, and active involvement in healthcare initiatives.

Profile:

Education:

Mr. Fekadu Abera earned his Bachelor of Science in Nursing from Hawassa University, Ethiopia, between 2014 and 2017. His academic background provided him with a solid foundation in nursing, equipping him with the essential knowledge and skills required to excel in the healthcare field. This education laid the groundwork for his subsequent contributions to nursing education, research, and community health, demonstrating his commitment to improving healthcare outcomes in Ethiopia.

Professional Experience:

Mr. Fekadu Abera has extensive professional experience in nursing education and community healthcare. He has served as a university lecturer at Oda Bultum University since December 2019, where he teaches nursing students and provides guidance on various disease processes and end-of-life issues. Prior to this role, he worked at Biyyo Karaba Health Center in Doba, West Hararge, Ethiopia, where he facilitated patient discharges and connected clients with essential community services, including home health and medical equipment. With a strong focus on case management, he conducts weekly care plan meetings that involve residents, families, and interdisciplinary team members to develop effective care strategies. His experience also includes educating healthcare professionals on disseminating health education in the community and providing direct support to elderly patients and their families.

Research Interests:

Mr. Fekadu Abera’s research interests primarily focus on understanding health issues within the Ethiopian context, particularly related to chronic diseases and community health. His notable studies include exploring hypoglycemia symptoms and associated factors among diabetic patients at Adama Hospital Medical College, as well as investigating the undiagnosed status of diabetes mellitus among adults in eastern Ethiopia. He has also evaluated the antidiarrheal activities of natural extracts, contributing to the understanding of traditional medicinal practices. Additionally, Mr. Abera’s research encompasses the spiritual well-being of cancer patients and the socio-cultural factors associated with Khat chewing among pregnant women. Through his research, he aims to identify critical health challenges and contribute to improved healthcare strategies in Ethiopia.

Skills:

Mr. Fekadu Abera possesses a diverse skill set that enhances his effectiveness as a nursing lecturer and community health worker. He excels in educating students on various disease processes and end-of-life issues, equipping them with essential knowledge for their future careers. His strong problem-solving abilities enable him to address community health challenges effectively. Mr. Abera demonstrates excellent case management skills, providing support and creating individualized care plans for elderly patients to ensure their smooth transition into long-term care. He is adept at fostering healthy relationships with residents and their families, enhancing the quality of life for those in his care. Additionally, his leadership and adaptability contribute to effective teamwork in interdisciplinary settings. Fluent in English, Afaan Oromo, and Amharic, Mr. Abera is skilled in communicating health education to diverse populations, furthering his impact in the community.

Conclution:

Given Mr. Fekadu Abera’s extensive research contributions, strong academic background, and commitment to nursing education and community health, he is well-suited for the Research for Best Researcher Award. His work demonstrates a profound dedication to advancing healthcare and addressing critical public health challenges in Ethiopia.

Publication Top Noted:

Title: Knowledge of hypoglycemia symptoms and associated factors among diabetic patients in Adama Hospital Medical College, Adama, Ethiopia: A cross-sectional study

  • Authors: Tadesse, K., Mekonnen, H., Habte, T., Ayale, M., Sugebo, F.
  • Journal: Clinical Epidemiology and Global Health
  • Year: 2024
  • Volume: 28
  • Article Number: 101702

Federica Paci | Cybersecurity | Best Researcher Award

Assoc Prof Dr. Federica Paci | Cybersecurity | Best Researcher Award

Associate Professor at University of Verona, Italy

Summary:

Associate Professor Dr. Federica Paci is a distinguished academic in the field of Information Technology, currently serving in the Department of Informatics at the University of Verona, Italy. She earned her Ph.D. from the University of Milan in 2008, focusing on access control in service-oriented architectures. With a Laurea degree in Computer Science, she graduated with honors from the same institution, specializing in Database and Information Systems. Dr. Paci has held various academic positions, including a Lecturer in Cyber Security at the University of Southampton and a Post-Doctoral Research Fellow at both the University of Trento and Purdue University. Her research interests encompass online privacy, cyber risk assessment, and identity and access management. Dr. Paci has contributed significantly to the field through numerous publications and by leading funded research projects aimed at enhancing cybersecurity education and practices. Additionally, she actively supervises Ph.D. students, fostering the next generation of researchers in her area of expertise.

Profile:

Education:

Associate Professor Dr. Federica Paci obtained her Ph.D. in Information Technology from the University of Milan, Italy, on February 14, 2008, with a thesis titled “Access Control in Service Oriented Architectures.” Prior to this, she completed her Laurea degree with honors in Computer Science (a five-year program) at the same university, graduating on February 19, 2004, with a remarkable graduation mark of 110/110 cum laude. Her specialization during her Laurea studies focused on Database and Information Systems, and her thesis was titled “A System for Selectively Encrypting and Signing XML Documents.”

Professional Experience:

Associate Professor Dr. Federica Paci has an extensive professional background in academia and research. Since December 2018, she has been serving as an Associate Professor in the Department of Informatics at the University of Verona, Italy. Prior to this role, she was a Lecturer in Cyber Security at the University of Southampton, UK, from February 2015 to December 2018. Dr. Paci began her post-doctoral career at the University of Trento, where she held two positions from March 2012 to January 2015, working on projects focused on secure future internet software services and security engineering for lifelong evolvable systems. She also gained valuable experience as a Post-Doctoral Research Fellow at Purdue University in the USA, where she contributed to research on privacy-preserving digital identity management. Throughout her career, Dr. Paci has been involved in numerous funded research projects, leading efforts to enhance cybersecurity education and practices.

Research Interests:

Associate Professor Dr. Federica Paci’s research interests lie at the intersection of cybersecurity, privacy, and information systems. She focuses on online privacy, exploring methodologies and technologies that enhance user protection in digital environments. Dr. Paci is particularly interested in cyber risk assessment, developing frameworks to evaluate and mitigate security threats in various contexts. Additionally, her work in identity and access management addresses the challenges associated with digital identity and secure access to information systems. Through her research, Dr. Paci aims to contribute to the advancement of secure computing practices and promote a deeper understanding of the complexities involved in managing privacy and security in today’s interconnected world.

Conclution:

Dr. Federica Paci’s extensive background in research, demonstrated leadership in funded projects, and impactful publications make her an exemplary candidate for the Research for Best Researcher Award. Her commitment to advancing knowledge in cybersecurity and her role in education further reinforce her suitability for this honor.

Publication Top Noted:

  • Collective privacy management in social networks
    • Conference: Proceedings of the 18th International Conference on World Wide Web
    • Year: 2009
    • Cited by: 311
    • Pages: 521-530
  • Privacy-preserving digital identity management for cloud computing
    • Journal: IEEE Data Engineering Bulletin
    • Year: 2009
    • Cited by: 270
    • Volume: 32(1), Pages: 21-27
  • Riskio: A serious game for cyber security awareness and education
    • Journal: Computers & Security
    • Year: 2020
    • Cited by: 247
    • Volume: 95, Article ID: 101827
  • Security for web services and service-oriented architectures
    • Publisher: Springer
    • Year: 2010
    • Cited by: 206
    • Volume: 4, Pages: 67
  • Access control in Internet-of-Things: A survey
    • Journal: Journal of Network and Computer Applications
    • Year: 2019
    • Cited by: 180
    • Volume: 144, Pages: 79-101
  • A privacy-preserving approach to policy-based content dissemination
    • Conference: 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)
    • Year: 2010
    • Cited by: 140
    • Pages: 944-955
  • Survey on access control for community-centered collaborative systems
    • Journal: ACM Computing Surveys (CSUR)
    • Year: 2018
    • Cited by: 109
    • Volume: 51(1), Pages: 1-38
  • Access control and authorization constraints for WS-BPEL
    • Conference: 2006 IEEE International Conference on Web Services (ICWS’06)
    • Year: 2006
    • Cited by: 108
    • Pages: 275-284
  • PP-trust-X: A system for privacy preserving trust negotiations
    • Journal: ACM Transactions on Information and System Security (TISSEC)
    • Year: 2007
    • Cited by: 91
    • Volume: 10(3), Article ID: 12-es
  • A distributed access control system for cloud federations
    • Conference: 2017 IEEE 37th International Conference on Distributed Computing Systems
    • Year: 2017
    • Cited by: 85
  • Access control enforcement for conversation-based web services
    • Conference: Proceedings of the 15th International Conference on World Wide Web
    • Year: 2006
    • Cited by: 79
    • Pages: 257-266
  • An access-control framework for WS-BPEL
    • Journal: International Journal of Web Services Research (IJWSR)
    • Year: 2008
    • Cited by: 71
    • Volume: 5(3), Pages: 20-43
  • Decentralised runtime monitoring for access control systems in cloud federations
    • Conference: 2017 IEEE 37th International Conference on Distributed Computing Systems
    • Year: 2017
    • Cited by: 65
  • Privacy-aware web service composition and ranking
    • Conference: 2013 IEEE 20th International Conference on Web Services
    • Year: 2013
    • Cited by: 64
    • Pages: 131-138

Tafano Labiso | Cybersecurity | Best Researcher Award

Assoc Prof Dr. Tafano Labiso | Cybersecurity | Best Researcher Award

Associate professor at Wolaita Sodo University, Ethiopia

Summary:

Assoc. Prof. Dr. Tafano Labiso is an esteemed academic with over 14 years of experience in teaching and administration at Wolaita Sodo University, Ethiopia. Born in Gale Bugie, Damot Gale District, he has dedicated his career to advancing education and management. Dr. Labiso holds a Ph.D. in Education Management from the University of South Africa, along with a BA and MA in Educational Planning and Management and Educational Leadership, respectively, from Addis Ababa University. Throughout his career, he has held several significant positions, including Dean of Students and Head of the EdPM Department at Wolaita Sodo University. His research contributions are extensive, with over 18 published articles in reputable journals and numerous conference presentations. Dr. Labiso is also actively involved in community outreach, having provided training across various regions in Ethiopia. His dedication to education and research has made him a respected figure in the academic community.

 

Profile:

Education:

Assoc. Prof. Dr. Tafano Labiso has a robust educational background, beginning with his early education at local institutions in Ethiopia. He obtained a Diploma in Educational Administration from Addis Ababa University in 1997, followed by a BA in Educational Planning and Management from the same university in 2005. Driven by his passion for advancing in the field of education, Dr. Labiso earned his MA in Educational Leadership and Management from Addis Ababa University in 2009. To further enhance his academic and professional expertise, he completed a Ph.D. in Education Management from the University of South Africa in 2021. Additionally, he has pursued various certifications, including a 2023 certificate on supervision capacity for MA and Ph.D. candidates from the University of South Africa, reflecting his ongoing commitment to academic excellence and leadership in education.

Professional Experience:

Assoc. Prof. Dr. Tafano Labiso has accumulated over 14 years of teaching experience at Wolaita Sodo University, where he has played a pivotal role in both academic and administrative capacities. He served as Dean of Students for two years and was the Country Coordinator for the Fulbright Hays Curriculum Development Project in Ethiopia. Dr. Labiso has been the Coordinator of Institutional Quality Assurance at the College of Education and Behavioral Sciences for more than two terms and has held key positions such as Secretary of DC, DGC, and AC at Wolaita Sodo University. His experience also includes being the principal of secondary schools for over five years and leading the Higher Diploma Program (HDP) for four years. As a course instructor, he has taught BA students for more than 14 years and Ph.D. students since 2022. Additionally, Dr. Labiso has advised numerous MA and Ph.D. candidates, served as a reviewer for journal articles, and contributed to the development of several institutional guidelines and manuals. His leadership roles extend to being the Academic Vice Dean of the College of Education and chairing various committees.

Research Interests:

Assoc. Prof. Dr. Tafano Labiso’s research interests are focused on educational management, leadership, and institutional quality assurance. He is particularly interested in exploring strategies for enhancing educational outcomes through effective management practices, as well as the role of leadership in fostering institutional transformation. Dr. Labiso also delves into the development of continuous assessment guidelines and recognition frameworks within educational institutions. His research extends to curriculum development and the supervision of graduate and doctoral research, where he examines the dynamics of higher education and the impact of policy implementation on academic standards.

Skills:

Assoc. Prof. Dr. Tafano Labiso possesses a diverse skill set that includes expertise in educational management, leadership, and institutional quality assurance. He is adept at curriculum development, continuous assessment, and policy implementation within educational institutions. Dr. Labiso has strong analytical and problem-solving skills, particularly in the context of educational transformation and quality assurance processes. His proficiency in academic advising and supervision is evidenced by his extensive experience guiding both master’s and doctoral candidates. Additionally, Dr. Labiso is skilled in coordinating large-scale projects, such as the Fulbright Hays Curriculum Development Project, and has a proven ability to manage committees and lead teams in academic settings. His linguistic capabilities include fluency in Wolaita Language, Amharic, English, and ongoing training in French.

Conclution:

Assoc. Prof. Dr. Tafano Ouke Labiso’s extensive academic background, leadership experience, research contributions, and commitment to community outreach make him a highly suitable candidate for the Best Researcher Award. His dedication to advancing education and making a positive impact both within and outside the university setting is commendable and worthy of recognition.

Publication Top Noted:

  • Students’ Readiness to Participate in Science Project Competitions: Views from Secondary Schools in Southern Ethiopia
    • Authors: Lachebo, G.C., Thuo, M.W., Labiso, T.O., Demissie, E.B.
    • Journal: Social Sciences and Humanities Open
    • Year: 2024
    • Volume: 10
    • Article ID: 101033
    • Citations: 0 (as of now)
    • Access: Open access
  • Teachers’ Digital Competencies and Technology Integration in Education: Insights from Secondary Schools in Wolaita Zone, Ethiopia
    • Authors: Demissie, E.B., Labiso, T.O., Thuo, M.W.
    • Journal: Social Sciences and Humanities Open
    • Year: 2022
    • Volume: 6(1)
    • Article ID: 100355
    • Citations: 12
    • Access: Open access

Ezekiel Agbon | Cybersecurity | Best Researcher Award

Dr. Ezekiel Agbon | Cybersecurity | Best Researcher Award

Lecturer at the Department of Electronics and Telecommunications Engineering ABU Zaria at Nigeria

Dr. Ezekiel Agbon is a dedicated academic and researcher specializing in telecommunications engineering. He earned his PhD in Telecommunications Engineering from Ahmadu Bello University, Zaria, in 2022, following his MSc in Telecommunication Engineering (2018) and B.Eng. in Electrical and Electronics Engineering (2012) from the same institution. Currently serving as a Lecturer in the Department of Electronics and Telecommunications Engineering at Ahmadu Bello University since 2018, Dr. Agbon is involved in both undergraduate and postgraduate teaching, covering a wide range of courses in his field. His research focuses on innovative solutions to real-world challenges, exemplified by his work on a microcontroller-based wireless pulse oximeter and an electronic hand sanitizer dispenser during the COVID-19 pandemic. Beyond his academic and research duties, Dr. Agbon is actively involved in various administrative roles within his department and is a registered member of the Council for the Regulation of Engineering in Nigeria (COREN). His contributions to academia, research, and the engineering community make him a well-respected figure in his field.

Profile:

Education:

Dr. Ezekiel Agbon has an impressive educational background in the field of telecommunications and engineering. He earned his PhD in Telecommunications Engineering from Ahmadu Bello University, Zaria, in 2022, where he focused on advancing his expertise in this specialized area. Prior to his doctoral studies, he completed a Master of Science (MSc) in Telecommunication Engineering from the same university in 2018, building a strong foundation in both theoretical and practical aspects of telecommunications. Dr. Agbon’s academic journey began with a Bachelor of Engineering (B.Eng.) in Electrical and Electronics Engineering, also from Ahmadu Bello University, Zaria, in 2012. His early education was completed at Command Day Secondary School in Bauchi, Bauchi State, where he obtained his Senior Secondary School Certificate in 2006. This progressive academic trajectory reflects Dr. Agbon’s dedication to his field and his commitment to continuous learning and professional development.

Professional Experience:

Dr. Ezekiel Agbon has accumulated substantial professional experience in the field of telecommunications engineering. Since 2018, he has served as a Lecturer in the Department of Electronics and Telecommunications Engineering at Ahmadu Bello University, Zaria, where he has been instrumental in delivering undergraduate and postgraduate courses such as Digital Electronics I, Reliability and Maintainability, and Wireless Communication. Prior to this role, Dr. Agbon gained valuable research experience as a Research Assistant at Christ School, Ado Ekiti, Nigeria, in 2015. His professional experience is marked by his active involvement in developing innovative technologies, including a microcontroller-based wireless pulse oximeter and an electronic hand sanitizer dispenser in response to the COVID-19 pandemic. In addition to his teaching and research roles, Dr. Agbon has undertaken various administrative responsibilities, including serving as the Postgraduate Seminar Coordinator and Welfare Coordinator within his department. His extensive experience underscores his commitment to advancing knowledge and contributing to the engineering profession.

Research Interests:

Dr. Ezekiel Agbon’s research interests are primarily centered around telecommunications engineering, with a focus on developing practical solutions to contemporary challenges. His work includes innovative projects such as the creation of a microcontroller-based wireless pulse oximeter and an electronic hand sanitizer dispenser, highlighting his commitment to addressing real-world problems through technological advancements. Dr. Agbon is particularly interested in the integration of microcontroller technology with wireless communication systems to enhance healthcare and safety applications. His research also explores the development of efficient electronic systems and devices, reflecting his dedication to advancing the field of telecommunications and improving everyday technologies.

Skills:

Dr. Ezekiel Agbon possesses a robust set of skills in telecommunications engineering and related fields. His technical expertise includes advanced knowledge in microcontroller programming, wireless communication systems, and electronic system design. Dr. Agbon is skilled in developing practical solutions such as pulse oximeters and hand sanitizer dispensers, showcasing his ability to translate theoretical concepts into functional, real-world applications. He also demonstrates proficiency in digital electronics, reliability and maintainability of electronic systems, and the integration of wireless technologies. His experience in teaching both undergraduate and postgraduate students further highlights his strong communication skills and ability to convey complex technical concepts effectively. Dr. Agbon’s administrative roles, including coordinating postgraduate seminars and managing welfare activities, underscore his organizational and leadership abilities, enhancing his multifaceted skill set.

Conclution:

Dr. Ezekiel Agbon’s extensive academic qualifications, combined with his research innovations, professional contributions, and international engagement, make him a strong candidate for the Research for Best Researcher Award. His work exemplifies the qualities of a distinguished researcher who is not only advancing his field but also contributing to society at large.

Publication Tob Noted:

  • Hop-count Aware Wireless Body Area Network for Efficient Data Transmission
    • Authors: M. Iyobhebhe, A.D. Usman, A.M. Tekanyi, E.E. Agbon
    • Published in: Indonesian Journal of Computing, Engineering, and Design (IJOCED), 4(1), 47-56
    • Cited by: 7
    • Year: 2022
  • Enhancing Throughput Cluster-Based WBAN Using TDMA and CCA Scheme
    • Authors: M. Iyobhebhe, A.S. Yaro, H. Bello, E.E. Agbon, M.D. Al-Mustapha, M.T. Kabir
    • Published in: Pakistan Journal of Engineering and Technology, 5(3), 7-12
    • Cited by: 4
    • Year: 2022
  • A Review on Technology-Based Contact Tracing Solutions and Its Application in Developing Countries
    • Authors: A.O. Adikpe, A.S. Yaro, A.M.S. Tekanyi, M.D. Almustapha, E.E. Agbon, O.A. Ayofe
    • Published in: Jordan Journal of Electrical Engineering, 8(1), 48-64
    • Cited by: 3
    • Year: 2022
  • Development of an Android-Based, Voice-Controlled Autonomous Robotic Vehicle
    • Authors: A. Umar, M.A. Giwa, A.Y. Kassim, M.U. Ilyasu, I. Abdulwahab, E.E. Agbon, et al.
    • Published in: Engineering Proceedings, 58(1), 48
    • Cited by: 2
    • Year: 2023
  • Quick Response Code Technology-Based Contact Tracing Solutions to Mitigate Epidemic Outbreaks: A Review
    • Authors: A.O. Adikpe, E.E. Agbon, A.M. Giwa, H.T. Adeyemo, M.A. Adegoke, F.C. Njoku
    • Published in: Pakistan Journal of Engineering and Technology, 6(3), 34-43
    • Cited by: 1
    • Year: 2023
  • Coverage Probability Enhancement for Better Network Experience of Cell Edge Users in Hierarchical Heterogeneous Networks Using Coordinate Aided Transmission Beamforming Model
    • Authors: E.E. Agbon, A.D. Usman, M. Umar, A.T. Utev, H. Bello
    • Published in: Nigerian Journal of Engineering, 29(2), 24-24
    • Cited by: 1
    • Year: 2022
  • Enhancing the Spectral Efficiency of an Uncorrelated Nakagami-m Fading Channel Using a Modified Selection Combining Diversity Scheme
    • Authors: K.A. Ibrahim, A.D. Usman, S.M. Sani, H. Bello, E.E. Agbon
    • Published in: ATBU Journal of Science, Technology and Education, 9(3), 389-401
    • Cited by: 1
    • Year: 2021
  • Optimization Approach for Throughput and Lifetime Maximization of Energy Aware MANET
    • Authors: E.E. Agbon, M.G. Awe, H.I. Yarima, F.C. Njoku, I. Rahman
    • Published in: Computing & Information Systems, 23(1)
    • Cited by: 1
    • Year: 2019
  • Throughput Efficient AODV for Improving QoS Routing in Energy Aware Mobile Adhoc Network
    • Authors: A.D. Usman, S.M. Sulieman, E.E. Agbon, W.A. W.F.
    • Published in: Covenant Journal of Informatics and Communication Technology
    • Cited by: 1
    • Year: 2018
  • Facial Expression Recognition: A Review of Advanced Machine Learning Techniques
    • Authors: F.A. Jibrin, E.E. Agbon, O. Elvis, I. Yau, S.A. Mikail, M.D. Almustapha, et al.
    • Published in: ATBU Journal of Science, Technology and Education, 12(2), 645-651
    • Cited by: (Not available)
    • Year: 2024
  • Mitigating the Event and Effect of Energy Holes in Multi-hop Wireless Sensor Networks Using an Ultra-Low Power Wake-Up Receiver and an Energy Scheduling Technique
    • Authors: H. Odedokun, A. Usman, U.F. Abdu-Aguye, E.E. Agbon, A.Y. Kassim, et al.
    • Published in: Covenant Journal of Engineering Technology
    • Cited by: (Not available)
    • Year: 2024

Djamel Djenouri | Cybersecurity | Best Researcher Award

Dr. Djamel Djenouri | Cybersecurity | Best Researcher Award

Associate Professor at University of the West of England, Bristol, United Kingdom

Dr. Djamel Djenouri is an Associate Professor in the Department of Computer Science and Creative Technology at the University of The West of England (UWE) in Bristol, UK. He is an ACM Senior Member, a Fellow of the UK Higher Education Academy, and a member of the Arab German Academy (AGYA). Dr. Djenouri holds a Doctorate in Computer Science and Engineering from the University of Science and Technology Houari Boumediene (USTHB) in Algiers, Algeria. His professional background includes significant roles as a Senior Research Scientist and Deputy Director at the CERIST Research Centre in Algeria. He has also worked as a Postdoctoral Fellow at NTNU in Norway and contributed to research projects in Germany and Italy. His research interests encompass wireless networks, Internet of Things (IoT), cybersecurity, and machine learning for smart environments. Dr. Djenouri has supervised numerous graduate theses and projects, reflecting his commitment to advancing research and education in his field.

Profile:

Education:

Dr. Djamel Djenouri’s academic journey is distinguished by his extensive education and specialized training. He earned his Doctorate in Computer Science and Engineering from the University of Science and Technology Houari Boumediene (USTHB) in Algiers, Algeria, from 2003 to 2007. Prior to this, he completed a “Magister” in Computer Science and Engineering at USTHB, graduating in 2003. His foundational education includes an Engineer degree in Computer Science and Engineering from USTHB, awarded in 2001. Dr. Djenouri further advanced his expertise with a Postdoctoral Fellowship in the ERCIM Program at NTNU in Trondheim, Norway, from 2008 to 2009. In 2020-2021, he achieved a Postgraduate Certificate in Academic and Professional Practice with distinction from the University of The West of England (UWE) in Bristol, UK.

Professional Experience:

Dr. Djamel Djenouri is currently an Associate Professor in the Department of Computer Science and Creative Technology at the University of the West of England (UWE), Bristol, UK. He has a distinguished career in research and academia, having previously served as a Senior Research Scientist and Deputy Director at CERIST Research Centre in Algiers, Algeria, where he was promoted to the highest research level, “Director of Research,” by a highly selective national committee. Dr. Djenouri also held adjunct professorships at Blida University and the University of Sciences and Technology Saad Dahleb, both in Algeria. His earlier roles include Research Assistant at CERIST, Postdoctoral Fellow at NTNU in Norway, and various teaching positions at USTHB and Blida University. His extensive experience spans both research and educational roles, demonstrating his significant contributions to the field of computer science and engineering.

Research Interests:

Dr. Djamel Djenouri’s research interests encompass a broad range of topics in computer science and engineering. His work focuses on wireless networks, particularly wireless sensor networks (WSN), with an emphasis on energy-efficient models, communication protocols, distributed algorithms, and quality of service. He is also deeply engaged in the Internet of Things (IoT), cyber-physical systems, and cybersecurity, exploring effective integration of IoT, sensors, and wireless technologies in smart environments such as smart buildings, smart health, and smart transportation. Additionally, Dr. Djenouri investigates mobile networks and ubiquitous computing, including protocols for mobile networking and distributed algorithms. His research further extends to the application of machine learning and data mining for analyzing sensor data in smart environments.

Skills:

Dr. Djamel Djenouri possesses a diverse set of skills in the field of computer science and engineering. His expertise includes designing and optimizing energy-efficient models and communication protocols for wireless sensor networks (WSN), as well as developing distributed algorithms to enhance system performance. He is proficient in integrating Internet of Things (IoT) technologies within smart environments and applications, with a strong focus on cybersecurity to safeguard IoT systems. Dr. Djenouri also excels in mobile networks and ubiquitous computing, applying his knowledge to improve networking protocols and develop robust applications. Additionally, he is skilled in applying machine learning and data mining techniques for analyzing and interpreting sensor data, contributing to advancements in smart environments.

Conclution:

Dr. Djamel Djenouri is an exemplary candidate for the Research for Best Researcher Award. His outstanding academic background, substantial research contributions, and significant professional achievements make him a distinguished figure in his field.

Publication Tob Noted:

  • Security Issues of Mobile Ad Hoc and Sensor Networks
    • Authors: D. Djenouri, N. Khelladi, L. Badache
    • Published in: IEEE Communications Surveys & Tutorials, 7(4), 2-28
    • Cited by: 744
    • Year: 2005
  • Congestion Control Protocols in Wireless Sensor Networks: A Survey
    • Authors: M.A. Kafi, D. Djenouri, J. Ben-Othman, N. Badache
    • Published in: IEEE Communications Surveys & Tutorials, 16(3), 1369-1390
    • Cited by: 231
    • Year: 2014
  • Machine Learning for Smart Building Applications: Review and Taxonomy
    • Authors: D. Djenouri, R. Laidi, Y. Djenouri, I. Balasingham
    • Published in: ACM Computing Surveys (CSUR), 52(2), 1-36
    • Cited by: 157
    • Year: 2019
  • A Study of Wireless Sensor Networks for Urban Traffic Monitoring: Applications and Architectures
    • Authors: M.A. Kafi, Y. Challal, D. Djenouri, M. Doudou, A. Bouabdallah, N. Badache
    • Published in: Procedia Computer Science, 19, 617-626
    • Cited by: 156
    • Year: 2013
  • Survey on Latency Issues of Asynchronous MAC Protocols in Delay-Sensitive Wireless Sensor Networks
    • Authors: M. Doudou, D. Djenouri, N. Badache
    • Published in: IEEE Communications Surveys & Tutorials, 15(2), 528-550
    • Cited by: 149
    • Year: 2013
  • MAC Protocols with Wake-up Radio for Wireless Sensor Networks: A Review
    • Authors: F.Z. Djiroun, D. Djenouri
    • Published in: IEEE Surveys and Tutorials
    • Cited by: 143
    • Year: 2016
  • A Survey on Urban Traffic Anomalies Detection Algorithms
    • Authors: Y. Djenouri, A. Belhadi, J.C.W. Lin, D. Djenouri, A. Cano
    • Published in: IEEE Access, 7, 12192-12205
    • Cited by: 135
    • Year: 2019
  • Traffic-Differentiation-Based Modular QoS Localized Routing for Wireless Sensor Networks
    • Authors: D. Djenouri, I. Balasingham
    • Published in: IEEE Transactions on Mobile Computing, 10(6), 797-809
    • Cited by: 130
    • Year: 2010
  • Deep Learning for Pedestrian Collective Behavior Analysis in Smart Cities: A Model of Group Trajectory Outlier Detection
    • Authors: A. Belhadi, Y. Djenouri, G. Srivastava, D. Djenouri, J.C.W. Lin, G. Fortino
    • Published in: Information Fusion, 65, 13-20
    • Cited by: 116
    • Year: 2021
  • Synchronization Protocols and Implementation Issues in Wireless Sensor Networks: A Review
    • Authors: D. Djamel, B. Mouloud
    • Published in: IEEE Systems Journal, 10(2), 617-627
    • Cited by: 116
    • Year

 

Dania Saleem | Cybersecurity | Best Researcher Award

Dr. Dania Saleem | Cybersecurity | Best Researcher Award

Lecturer at HITEC university Taxila, Pakistan

Dr. Dania Saleem is a dedicated mathematician and researcher specializing in algebraic cryptography. She holds a Ph.D. in Mathematics from Quaid-e-Azam University, Islamabad, where her research focused on developing innovative encryption schemes, including her published work on “Color Multiple Image Encryption Scheme Based on 3D-Chaotic Maps.” Dr. Saleem also completed her M.Phil in Mathematics at Quaid-e-Azam University, contributing to significant research in cryptography. With over six years of teaching experience, she currently serves as a Lecturer of Mathematics at HITEC University, Taxila, where she teaches various advanced mathematics courses. Dr. Saleem’s expertise includes mathematical modeling, MATLAB, C++ programming, and advanced encryption techniques. Her commitment to both teaching and research has made her a respected figure in her field.

 

Profile:

Education:

Dr. Dania Saleem has an impressive academic background in mathematics, with a focus on algebraic cryptography. She earned her Ph.D. in Mathematics from Quaid-e-Azam University, Islamabad, from 2017 to 2021. Her doctoral research led to the publication of the paper “Color Multiple Image Encryption Scheme Based on 3D-Chaotic Maps,” showcasing her expertise in cryptography. Prior to her Ph.D., she completed an M.Phil in Mathematics at Quaid-e-Azam University from 2015 to 2017, where she contributed to the research titled “An RGB Chaos-based Image Encryption Scheme using SHA-256 and Scan Patterns.” Dr. Saleem’s academic journey began with a Master’s degree in Mathematics from Govt. Post Graduate College Asghar Mall, Rawalpindi (2012-2014), during which she worked on the “Designing of One Time-pad Encryption Scheme using 4D-Dynamical System and Convolution Codes.” She holds a Bachelor’s degree in Mathematics from Govt. Degree College for Women B-Block, Rawalpindi, earned between 2010 and 2012. Throughout her academic career, Dr. Saleem has demonstrated a strong commitment to advancing the field of mathematics, particularly in the area of cryptography.

Professional Experience:

Dr. Dania Saleem has over six years of professional experience in academia, focusing on mathematics education and research. Since September 2021, she has been serving as a Lecturer of Mathematics at HITEC University, Taxila, where she teaches a range of undergraduate courses, including Discrete Mathematics, Ordinary Differential Equations, Metric and Topological Spaces, Real Analysis, Elements of Set Theory, Group Theory, and Rings and Fields. Prior to her current role, Dr. Saleem was a Visiting Lecturer at Arid Agricultural University, Rawalpindi, from January 2016 to August 2021. During this time, she taught various undergraduate mathematics courses, further honing her pedagogical skills and deepening her engagement with students. Dr. Saleem’s extensive teaching experience is complemented by her strong research background in algebraic cryptography, where she has made significant contributions through her published work and ongoing projects.

Research Interests:

Dr. Dania Saleem’s research interests are centered on algebraic cryptography, with a focus on developing advanced encryption schemes and exploring their applications. Her work delves into innovative methods for securing digital communications, employing techniques such as chaotic maps and dynamical systems to enhance encryption strategies. Dr. Saleem’s research includes the design and analysis of cryptographic systems, with notable contributions including her published study on “Color Multiple Image Encryption Scheme Based on 3D-Chaotic Maps.” She is also interested in the intersection of cryptography and information security, investigating how mathematical models can address contemporary challenges in securing sensitive data. Her ongoing research aims to advance the field of cryptography by developing more robust and efficient encryption methods.

Skills:

Dr. Dania Saleem possesses a diverse skill set that supports her expertise in mathematics and cryptography. She is proficient in Scientific Workplace and MATLAB, which are essential for conducting complex mathematical analysis and modeling. Her skills extend to Microsoft Visio for creating detailed diagrams and MS-Office for general documentation and presentation needs. Additionally, Dr. Saleem is adept in C++ Language, which she utilizes for programming and implementing cryptographic algorithms. Her expertise also includes Mathematica, a powerful tool for advanced mathematical computations and visualizations. These skills enable her to effectively teach advanced mathematics courses, conduct high-level research, and contribute to the development of innovative cryptographic techniques.

Conclution:

Dr. Dania Saleem’s comprehensive expertise, extensive teaching experience, and significant research achievements in algebraic cryptography make her a highly deserving candidate for the Best Researcher Award. Her dedication to advancing mathematical research, particularly in the domain of cryptography, coupled with her commitment to education, underscores her suitability for this prestigious recognition.

Publication Tob Noted:

  • 4D-Dynamical System and Convolution Codes Based Colored Image Encryption Scheme: Information Security Perception
    • Authors: D.S. Malik, T. Shah
    • Journal: Multimedia Tools and Applications
    • Year: 2024
    • Volume: 83, Issue 10
    • Pages: 29353–29375
  • Color Multiple Image Encryption Scheme Based on 3D-Chaotic Maps
    • Authors: D.S. Malik, T. Shah
    • Journal: Mathematics and Computers in Simulation
    • Year: 2020
    • Volume: 178
    • Pages: 646–666
    • Citations: 74

 

Lidan Wang | Chaotic Cryptography | Best Researcher Award

Prof. Lidan Wang | Chaotic Cryptography | Best Researcher Award

Supervisor at Southwest University, China

Summary:

Prof. Lidan Wang is a distinguished professor and doctoral supervisor in the College of Artificial Intelligence at Southwest University in Chongqing, China. She earned her B.E. degree in Automatic Control from Nanjing University of Science and Technology in 1999 and her Ph.D. in Computer Software and Theory from Chongqing University in 2008. Furthering her academic journey, she completed post-doctoral research at Chongqing University in 2012. Prof. Wang’s research focuses on artificial intelligence, particularly in the areas of artificial neural networks, neural morphological systems, memristor devices and systems, chaotic systems, and nonlinear circuit design. She has led over 20 significant research projects, including those funded by the National Key R&D Program and the National Natural Science Foundation of China.

 

Profile:

Education:

Prof. Lidan Wang earned her Bachelor of Science degree in Electrical Engineering from Nanjing University of Science and Technology, China, in 1996. She pursued her Master’s degree and Ph.D. in Electrical Engineering at Chongqing University, China, completing her Ph.D. in 2008. Additionally, Prof. Wang conducted post-doctoral research at Chongqing University from 2012 to 2014, further advancing her expertise in the field of artificial intelligence and neural networks.

Professional Experience:

Prof. Lidan Wang began her academic career as an Associate Professor at Southwest University, Chongqing, China, serving from 2008 to 2012. She was promoted to Professor in 2013, a position she continues to hold. In addition to her role at Southwest University, Prof. Wang has gained international experience through various visiting professorships, including at Imperial College London, Nanyang Technological University, Texas A&M University at Qatar, and the University of Tasmania. Her leadership extends beyond teaching and research, as she currently serves as the deputy director of the Chongqing Key Laboratory of Brain-like Computing and Intelligent Control, Secretary General of the Chongqing Artificial Intelligence Society, and Director of the Chongqing Young Science and Technology Leaders Association.

Research Interests:

Prof. Lidan Wang’s research interests lie primarily in the realm of artificial intelligence, with a strong focus on artificial neural networks and neural morphological systems. Her work explores memristor devices and systems, chaotic systems, and nonlinear circuit design. Prof. Wang is particularly engaged in advancing the understanding and application of these technologies, aiming to develop innovative solutions and systems that integrate these complex components. Her research contributes significantly to the fields of artificial intelligence and neural network technologies.

Skills:

Prof. Lidan Wang possesses advanced skills in artificial intelligence, encompassing artificial neural networks and neural morphological systems. She is proficient in the design and implementation of memristor devices and systems, as well as in the analysis and development of chaotic systems and nonlinear circuits. Her expertise extends to leading and managing research projects, having successfully undertaken numerous high-profile projects including National Key R&D Program subprojects and various funding initiatives. Additionally, Prof. Wang has a strong background in patent development and academic publishing, contributing to her distinguished reputation in the scientific community.

Conclution:

Given her exceptional research contributions, extensive publication record, numerous awards, and significant leadership roles, Prof. Lidan Wang is a highly deserving candidate for the Best Researcher Award. Her work not only advances the field of artificial intelligence but also inspires and influences the global research community.

Publication Tob Noted:

Memristor-based cellular nonlinear/neural network: design, analysis, and applications

  • Authors: S. Duan, X. Hu, Z. Dong, L. Wang, P. Mazumder
  • Journal: IEEE Transactions on Neural Networks and Learning Systems
  • Volume: 26, Issue 6
  • Pages: 1202-1213
  • Year: 2014
  • Citations: 297

Electronic nose feature extraction methods: A review

  • Authors: J. Yan, X. Guo, S. Duan, P. Jia, L. Wang, C. Peng, S. Zhang
  • Journal: Sensors
  • Volume: 15, Issue 11
  • Pages: 27804-27831
  • Year: 2015
  • Citations: 296

Exponential stability of complex-valued memristive recurrent neural networks

  • Authors: H. Wang, S. Duan, T. Huang, L. Wang, C. Li
  • Journal: IEEE Transactions on Neural Networks and Learning Systems
  • Volume: 28, Issue 3
  • Pages: 766-771
  • Year: 2016
  • Citations: 159

A novel memristive Hopfield neural network with application in associative memory

  • Authors: J. Yang, L. Wang, Y. Wang, T. Guo
  • Journal: Neurocomputing
  • Volume: 227
  • Pages: 142-148
  • Year: 2017
  • Citations: 158

Memristor model and its application for chaos generation

  • Authors: L. Wang, E. Drakakis, S. Duan, P. He, X. Liao
  • Journal: International Journal of Bifurcation and Chaos
  • Volume: 22, Issue 08
  • Article Number: 1250205
  • Year: 2012
  • Citations: 147

Volatile and nonvolatile memristive devices for neuromorphic computing

  • Authors: G. Zhou, Z. Wang, B. Sun, F. Zhou, L. Sun, H. Zhao, X. Hu, X. Peng, J. Yan, …
  • Journal: Advanced Electronic Materials
  • Volume: 8, Issue 7
  • Article Number: 2101127
  • Year: 2022
  • Citations: 129

Resistive switching memory integrated with amorphous carbon-based nanogenerators for self-powered device

  • Authors: G. Zhou, Z. Ren, L. Wang, J. Wu, B. Sun, A. Zhou, G. Zhang, S. Zheng, S. Duan, …
  • Journal: Nano Energy
  • Volume: 63
  • Article Number: 103793
  • Year: 2019
  • Citations: 126

Artificial and wearable albumen protein memristor arrays with integrated memory logic gate functionality

  • Authors: G. Zhou, Z. Ren, L. Wang, B. Sun, S. Duan, Q. Song
  • Journal: Materials Horizons
  • Volume: 6, Issue 9
  • Pages: 1877-1882
  • Year: 2019
  • Citations: 123

Capacitive effect: An original of the resistive switching memory

  • Authors: G. Zhou, Z. Ren, B. Sun, J. Wu, Z. Zou, S. Zheng, L. Wang, S. Duan, Q. Song
  • Journal: Nano Energy
  • Volume: 68
  • Article Number: 104386
  • Year: 2020
  • Citations: 118

 

Sathiya R | Intrusion Detection | Best Researcher Award

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

 

 

Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Assist Prof Dr. Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Associate Professor at Islamic Azad University, Iran

Summary:

Dr. Mokhtar Mohammadi Ghanatghestani is an accomplished academic specializing in Computer Engineering with a focus on VLSI and computer network security. He earned his PhD and Master of Science degrees from Islamic Azad University, Science and Research Branch, Tehran, Iran, and his Bachelor of Science from Shahid Bahonar University, Kerman, Iran. With over 20 publications in prestigious journals and the successful supervision of more than 30 master’s and 4 PhD students, Dr. Ghanatghestani has made significant contributions to his field. His research interests include IoT, nanotechnology, and approximate computing. He also serves as the Head of the University Technology Incubator and is an active faculty member.

Profile:

Education:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani completed his PhD in Computer Engineering with a specialization in Computer Architecture at Islamic Azad University, Science and Research Branch, Tehran, Iran, in 2014, under the supervision of Dr. Hossein Pedram. He earned his Master of Science degree in Computer Engineering from the same university in 2010, with Dr. Keivan Navi as his thesis supervisor. Dr. Ghanatghestani obtained his Bachelor of Science degree in Computer Engineering, focusing on Hardware, from Shahid Bahonar University, Kerman, Iran, in 2008, where he was guided by Dr. Fahimeh Yazdanpenah.

Professional Experience:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has a robust professional background in academia and research. As a faculty member, he has supervised over 30 master’s students and 4 PhD candidates, contributing to the publication of more than 20 articles in reputable scientific journals. He has completed significant industrial projects and is actively involved in ongoing research initiatives. Dr. Ghanatghestani has developed new memory and arithmetic circuits using nanotechnology, improving power consumption and delay. In the realm of IoT, he has proposed methods to enhance reliability and security. He also serves as the Head of the University Technology Incubator, fostering innovation and collaboration.

Research Interests:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani’s research interests span a wide array of topics within Computer Engineering. He is deeply engaged in the fields of Internet of Things (IoT), computer network security, and mobile ad-hoc networks. His work in nanotechnology and Very-Large-Scale Integration (VLSI) focuses on developing innovative memory and arithmetic circuits that improve power consumption and delay. Additionally, Dr. Ghanatghestani explores Multi-Value Logic (MVL) and approximate computing, contributing to advancements in computational efficiency and performance. His comprehensive research efforts are aimed at enhancing the reliability and security of modern computing systems.

Skills:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.

Awards and Honors:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has garnered recognition for his outstanding contributions to the field of Computer Engineering. His dedication to research and innovation has been acknowledged through various awards and honors, underscoring his impact on advancing technologies in VLSI design, nanotechnology applications, and computer network security. Dr. Ghanatghestani’s accolades reflect his leadership in academia and his commitment to excellence in teaching and mentorship. As a respected figure in his field, he continues to receive acclaim for his significant achievements, which have not only enriched scholarly discourse but also influenced practical advancements in computing and technology.

Publications:

 

 

Naresh E | Intrusion Detection | Best Researcher Award

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