Dania Saleem | Cybersecurity | Best Researcher Award

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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

 

Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

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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:

 

 

Melkam Belay | Cybersecurity | Excellence in Research

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Mrs. Melkam Belay | Cybersecurity | Excellence in Research

PhD student at Dilla University College of Health Sciences and Medicine, Ethiopia

Summary:

Mrs. Melkam Belay is an experienced professional in midwifery and reproductive health nursing. She obtained her BSc in Midwifery from Gondar University in July 2015 and completed her MSc in Maternity and Reproductive Health Nursing at Arba Minch University in September 2019. Her career includes roles as a Junior Midwife, Graduate Assistant II, and Lecturer at Dilla University, where she also pursued a PhD in Public Health from 2015 to 2016. Since 2007, Mrs. Belay has been an active member of the Ethiopian Midwives Association and has made significant contributions to healthcare sciences with over 15 published and ongoing papers.

Profile:

Education:

Mrs. Melkam Belay completed her Bachelor of Science (BSc) in Midwifery at Gondar University in July 2015. Following this, she pursued further studies and earned a Master of Science (MSc) in Maternity and Reproductive Health Nursing from Arba Minch University, graduating in September 2019. Her academic journey has been complemented by practical experience and research pursuits in midwifery and public health, fostering her expertise in maternal care and reproductive health education.

Professional Experience:

Mrs. Melkam Belay has accumulated extensive professional experience in the field of midwifery and healthcare education. Her career began in 2008 at Bishoftu General Hospital, Oromia Region, Ethiopia, where she served as a Junior Midwife. From 2009 to 2010, she worked as a Graduate Assistant II at the Midwifery Department of Dilla University, progressing to an Assistant Lecturer role from 2011 to 2012. Demonstrating her commitment to academia and healthcare, Mrs. Belay continued to advance as a Lecturer at the Department of Midwifery at Dilla University from 2013 to 2015. Concurrently, she pursued her PhD in Public Health at Dilla University from 2015 to 2016, focusing on enhancing her research and teaching capabilities. Her tenure at various educational and healthcare institutions has enriched her expertise in midwifery practices and maternal health education, underpinned by her active membership in the Ethiopian Midwives Association since 2007.

Research Interest:

Mrs. Melkam Belay’s research interests span several critical areas within midwifery and public health. Her focus includes maternal health and well-being, particularly in resource-limited settings, where she explores factors influencing maternal health outcomes and healthcare access. She is also keenly interested in reproductive health, with a particular emphasis on improving maternal and child health services through evidence-based interventions. Mrs. Belay’s research endeavors aim to contribute to the development of effective healthcare strategies and policies that enhance maternal and reproductive health outcomes globally, addressing both clinical and socio-economic determinants.

Publication:

Title: Comparison of effectiveness of Foley catheter versus vaginal misoprostol for cervical ripening in induction of labour in Gedeo zone public hospitals, Ethiopia, 2022. Quasi-experimental design

  • Authors: Temesgen, T., Figa, Z., Gido, R., Bedecha, F., Berwo, M.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100734
  • Year: 2024
  • Citations: 0

Title: Pregnant mothers’ intention to use postpartum intrauterine contraceptive device and its associated factors in Arba Minch Town, Southern Ethiopia, 2022

  • Authors: Andargie, M., Debalkie, M., Lakew, S., Getie, A., Solomon, Z.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100718
  • Year: 2024
  • Citations: 0
  • Status: Open access

Title: Factors associated with low fifth minute Apgar score among newborns delivered at public health facilities of Dilla town, Southern Ethiopia, 2022

  • Authors: Abebe, M., Tebeje, T.M., Gugsa, T., Solomon, Z., Hareru, H.E.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100656
  • Year: 2024
  • Citations: 0
  • Status: Open access

 

 

Ahmed Nabih Zaki Rashed | Malware Analysis | Best Researcher Award

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Prof Dr. Ahmed Nabih Zaki Rashed, Malware Analysis, Best Researcher Award

Professor at Menoufia university, Egypt

Summary:

Prof. Dr. Ahmed Nabih Zaki Rashed is a renowned expert in Electronics and Electrical Communication Engineering, currently a Full Professor at Menoufia University, Egypt. He received his MSc in 2005 and PhD in 2010, both from Menoufia University. Promoted to Associate Professor in March 2016 and Full Professor in September 2021, Prof. Rashed specializes in optical communication systems, including optical sources, detectors, amplifiers, cables, networks, and related technologies. His research also extends to digital communication systems, computer networks, digital circuits, optical signal processing, and digital filters. A prolific researcher, Prof. Rashed has served on the editorial and reviewer boards of numerous high-impact international journals. His significant contributions to the field have earned him a place among the top 2% of scientists worldwide, as recognized by Stanford University in 2020, 2021, 2022, and 2023.

Profile:

Education:

Prof. Dr. Ahmed Nabih Zaki Rashed completed his MSc in Electronics and Electrical Communication Engineering at the University of Menoufia on June 11, 2005. He continued his academic journey at the same institution, earning his PhD on July 11, 2010. His advanced studies and research have laid a strong foundation for his subsequent academic and professional achievements in the field of optical communication systems and related areas.

Professional Experience:

Prof. Dr. Ahmed Nabih Zaki Rashed has accumulated extensive professional experience in the field of Electronics and Electrical Communication Engineering. Since joining Menoufia University, Egypt, he has steadily advanced through academic ranks, achieving the positions of Associate Professor in March 2016 and Full Professor in September 2021. His tenure has been marked by significant contributions to research and education in optical communication systems, encompassing areas such as optical sources, detectors, amplifiers, cables, networks, measurements, connectors, and various propagation phenomena in optical channels. In addition to his academic roles, Prof. Rashed plays an active role in the editorial and reviewer boards of several prestigious international scientific journals. His expertise extends to digital communication systems, communication networks, electronics, computer networks, planning networks, digital circuits, optical signal processing, digital filters, and advanced techniques in the field. Recognized as one of the top 2% of scientists worldwide by Stanford University in multiple consecutive years (2020, 2021, 2022, and 2023), Prof. Rashed continues to make substantial contributions to the advancement of knowledge in his field. His dedication to research and education is evident in his leadership and scholarly achievements at Menoufia University.

Research Interests:

Prof. Dr. Ahmed Nabih Zaki Rashed is deeply immersed in research focused on advancing optical communication systems and related technologies. His primary interests lie in the comprehensive study of optical sources, detectors, amplifiers, cables, networks, measurements, connectors, and the diverse propagation phenomena within optical channels. Beyond optics, he explores digital communication systems, encompassing the intricacies of communication networks, electronics, computer networks, planning networks, digital circuits, optical signal processing, digital filters, and advanced techniques in these domains. His scholarly pursuits are distinguished by a commitment to enhancing the performance and efficiency of communication technologies through rigorous investigation and innovative methodologies. Prof. Rashed’s research not only contributes significantly to academic literature but also informs practical applications in improving communication infrastructures globally. As a respected member of the academic community, Prof. Dr. Ahmed Nabih Zaki Rashed actively engages in editorial and reviewer roles for esteemed international scientific journals, further underscoring his influence and expertise in the field. His research continues to shape advancements in optical and digital communication systems, positioning him as a leading authority in these critical areas of study.

Publications:

The large hadron–electron collider at the HL-LHC

  • Authors: P Agostini, H Aksakal, S Alekhin, PP Allport, N Andari, KDJ Andre, …
  • Journal: Journal of Physics G: Nuclear and Particle Physics
  • Volume: 48
  • Issue: 11
  • Pages: 110501
  • Citations: 206
  • Year: 2021

Design of D-shaped elliptical core photonic crystal fiber for blood plasma cell sensing application

  • Authors: K Ahmed, BK Paul, B Vasudevan, ANZ Rashed, R Maheswar, IS Amiri, …
  • Journal: Results in Physics
  • Volume: 12
  • Pages: 2021-2025
  • Citations: 159
  • Year: 2019

Phenomenology of B→KB \to K using lattice QCD calculations

  • Authors: A Datta, S Kamali, S Meinel, A Rashed
  • Journal: Journal of High Energy Physics
  • Volume: 2017
  • Issue: 8
  • Pages: 1-39
  • Citations: 140
  • Year: 2017

Mono-rectangular core photonic crystal fiber (MRC-PCF) for skin and blood cancer detection

  • Authors: MMA Eid, ANZ Rashed, AAM Bulbul, E Podder
  • Journal: Plasmonics
  • Volume: 16
  • Pages: 717-727
  • Citations: 136
  • Year: 2021

Do we really need deep learning models for time series forecasting?

  • Authors: S Elsayed, D Thyssens, A Rashed, HS Jomaa, L Schmidt-Thieme
  • Journal: arXiv preprint arXiv:2101.02118
  • Citations: 132
  • Year: 2021

Highly sensitive nonlinear photonic crystal fiber based sensor for chemical sensing applications

  • Authors: MMA Eid, MA Habib, MS Anower, ANZ Rashed
  • Journal: Microsystem Technologies
  • Volume: 27
  • Pages: 1007-1014
  • Citations: 128
  • Year: 2021

Optical image encryption based on chaotic baker map and double random phase encoding

  • Authors: AM Elshamy, ANZ Rashed, AENA Mohamed, OS Faragalla, Y Mu, …
  • Journal: Journal of Lightwave Technology
  • Volume: 31
  • Issue: 15
  • Pages: 2533-2539
  • Citations: 125
  • Year: 2013

Differential optical absorption spectroscopy-based refractive index sensor for cancer cell detection

  • Authors: T Parvin, K Ahmed, AM Alatwi, ANZ Rashed
  • Journal: Optical Review
  • Volume: 28
  • Pages: 134-143
  • Citations: 121
  • Year: 2021

Temperature effects on characteristics and performance of near-infrared wide bandwidth for different avalanche photodiodes structures

  • Authors: IS Amiri, FMAM Houssien, ANZ Rashed, AENA Mohammed
  • Journal: Results in Physics
  • Volume: 14
  • Pages: 102399
  • Citations: 115
  • Year: 2019

Optical communication transmission systems improvement based on chromatic and polarization mode dispersion compensation simulation management

  • Authors: IS Amiri, ANZ Rashed, HMA Kader, AA Al-Awamry, IA Abd El-Aziz, …
  • Journal: Optik
  • Volume: 207
  • Pages: 163853
  • Citations: 113
  • Year: 2020

 

 

Phenias Nsabimana | Cybersecurity And Cryptography | Best Researcher Award

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Mr. Phenias Nsabimana, Cybersecurity And Cryptography, Best Researcher Award

Phenias Nsabimana at Ghent University, Rwanda

Mr. Phenias Nsabimana is a professional in the field of nutrition, food sciences, and education. He holds a Ph.D. in Nutrition and Food Sciences from Ghent University (USA), a Master of Science (MSc) in Food Science from Washington State University, and a Bachelor’s degree in Chemistry with Education from the National University of Rwanda. Mr. Nsabimana is also a Lecturer and Ph.D. student at the College of Agriculture, Animal Science, and Veterinary Medicine at the University of Rwanda. He is a member of the Belgian Nutrition Society, the Rwandan Society of Food Science and Technology (RFST), and the Washington State University alumni association. His current interests include the application of data science in Food Science and Nutrition, promoting healthy eating to prevent malnutrition and non-communicable diseases, formulating healthy foods, and ensuring food safety and environmental sanitation.

Profile:

Education:

Ph.D. in Nutrition and Food Sciences:

  • Institution: Ghent University (USA), Belgium
  • Duration: From 12/02/2018 to Present
  • Expected Qualification: Ph.D. (to be awarded by December 2024)

Master of Science (MSc) in Food Science:

  • Institution: Washington State University, USA
  • Duration: From 03/18/2011 to 05/12/2013
  • Title Awarded: Master of Science (MSc)

Bachelor’s degree in Chemistry with Education:

  • Institution: National University of Rwanda
  • Duration: From 10/03/2000 to 07/20/2006
  • Title Awarded: Bachelor’s degree (of four years)

Professional Experience:

Mr. Phenias Nsabimana has been working as a Lecturer and Ph.D. student at the College of Agriculture, Animal Science, and Veterinary Medicine at the University of Rwanda since June 2010. His responsibilities include teaching courses related to food science and nutrition, mentoring students in their academic activities, and conducting research focused on community outreach activities.

Research Interest:

  • Application of Data Science in Food Science and Nutrition: Utilizing data science techniques to analyze and improve various aspects of food science and nutrition, such as food quality, safety, and sustainability.
  • Promoting Healthy Eating and Preventing Malnutrition: Investigating strategies and interventions aimed at promoting healthy eating behaviors and addressing nutritional deficiencies to prevent malnutrition-related issues.
  • Development of Functional Foods: Researching the development and evaluation of functional foods that offer health benefits beyond basic nutrition, such as foods fortified with vitamins, minerals, or bioactive compounds.
  • Food Safety and Quality Assurance: Focusing on ensuring food safety standards, implementing quality assurance measures, and developing methods for detecting and mitigating foodborne hazards.
  • Sustainable Food Systems: Exploring sustainable practices in food production, distribution, and consumption to reduce environmental impact and improve long-term food security.
  • Nutritional Epidemiology: Conducting studies to understand the relationship between diet, nutrition, and health outcomes at the population level, including factors influencing dietary patterns and their impact on public health.

Membership:

  • Belgian Nutrition Society: Mr. Phenias Nsabimana has been a member of the Belgian Nutrition Society since 2018, contributing to the field of nutrition science and research.
  • Rwandan Society of Food Science and Technology (RFST): Since 2015, Mr. Nsabimana has been an active member of the RFST, engaging in discussions and activities related to food science and technology in Rwanda.
  • Washington State University Alumni: As a proud alumnus of Washington State University, Mr. Nsabimana maintains his connection to the university and its network of alumni since 2013.

Top Noted Publication:

 

Worku Chekol | Cybersecurity And Cryptography | Best Researcher Award

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Mr. Worku Chekol, Cybersecurity And Cryptography, Best Researcher Award

Worku Chekol at Teda Health Science College, Ethiopia

Mr. Worku Chekol is a dedicated academic and researcher in the field of medical nursing, currently serving as a Lecturer and Research Coordinator at Teda Health Science College in Ethiopia. He holds a Master of Medical Nursing degree from the University of Gondar, where he graduated with a perfect CGPA of 4.00 in 2012. He also earned his Bachelor of Science in Nursing from Aksum University in 2007, achieving a CGPA of 3.81. Since 2008, Mr. Chekol has been imparting knowledge and skills to students at Teda Health Science College, where he teaches various clinical and health-related courses. In addition to his teaching responsibilities, he has been the Research Coordinator at the same institution since September 2014. His research focuses on critical health issues, with publications addressing acute kidney injury in diabetes patients, herbal medicine use, hyperglycemic emergencies, self-medication practices among pregnant women, hygienic practices in complementary food preparation, eye care service utilization among diabetic patients, and precancerous cervical lesions in HIV-infected women. Mr. Chekol is fluent in both Amharic and English and possesses strong skills in working under pressure, multitasking, and effective communication. He is proficient in several computer applications, including MS Word, MS PowerPoint, MS Excel, SPSS, STATA, EPI INFO, EpiData, and Open Code. His commitment to serving the community and his ability to adapt to challenging environments highlight his dedication to the field of healthcare and education.

Profile:

Education:

Mr. Worku Chekol holds a Master of Medical Nursing degree from the University of Gondar, Ethiopia, which he completed in 2012 with an outstanding Cumulative Grade Point Average (CGPA) of 4.00. Prior to this, he earned a Bachelor of Science degree in Nursing from Aksum University, Ethiopia, in 2007, achieving a CGPA of 3.81. His academic excellence has been a cornerstone of his professional career.

Professional Experience:

Mr. Worku Chekol has been serving as a lecturer at Teda Health Science College since 2008, where he delivers various clinical and health-related courses to students. Since September 2014, he has also taken on the role of Research Coordinator at the same institution, actively engaging in research and academic duties. His dual role as a lecturer and researcher allows him to contribute significantly to both the educational and research fields within the college.

Research Interest:

Mr. Worku Chekol’s research interests encompass a wide range of health-related topics, with a particular focus on the incidence and predictors of acute kidney injury among newly diagnosed type 2 diabetes patients, the prevalence and associated factors of herbal medicine use among patients with chronic diseases, and the outcomes of hyperglycemic emergencies among diabetic patients in Ethiopia. He also investigates self-medication practices among pregnant women, hygienic practices in complementary food preparation for children aged 6-24 months, eye care service utilization among diabetic patients in Africa, and precancerous cervical lesions among HIV-infected women. His work involves systematic reviews and meta-analyses to provide comprehensive insights into these critical health issues.

SKILLS:

Mr. Worku Chekol is fluent in both Amharic and English, which allows him to effectively communicate and collaborate in diverse environments. He excels in working in complex and demanding settings, managing multiple tasks with short deadlines, and performing under intense pressure. His strong communication skills, eagerness to learn, and willingness to collaborate with others make him an effective team player. Mr. Chekol is committed to serving the community and is capable of working in challenging conditions. Additionally, he possesses basic computer skills and is proficient in various software programs, including MS Word, MS PowerPoint, MS Excel, SPSS, STATA, EPI INFO, epi data, and Open Code.

 

 

 

Ahmed Adem Mohammed | Key Management | Best Researcher Award

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Mr. Ahmed Adem Mohammed | Key Management | Best Researcher Award

Head department of Nursing, Lecturer at Samara University, Ethiopia

Ahmed Adem Mohammed is a dedicated Mental Health Specialist with a strong commitment to supporting vulnerable populations in crisis-affected communities. With a Master’s degree in Integrated Clinical and Community Mental Health from Samara University, Ahmed brings a wealth of knowledge and expertise to his work. He has extensive experience providing Mental Health and Psychosocial Support (MHPSS) services in internally displaced persons (IDP) camps during humanitarian emergencies in the Afar region. Ahmed’s passion for promoting mental well-being and resilience is evident in his proactive approach to project management, problem-solving, and interdisciplinary collaboration. His research interests lie in advancing mental health interventions and support systems, particularly in contexts of crisis and displacement. Through his work, Ahmed strives to make a meaningful difference in the lives of individuals and communities facing adversity.

Profile:

Education:

Ahmed Adem Mohammed completed his Master of Science degree in Integrated Clinical and Community Mental Health from Samara University in 2019. Prior to this, he obtained certification as a Psychiatric Nurse from the University of Mekelle in 2015. Additionally, he pursued a diploma in Personal Computer Skills from a training center. Ahmed’s educational background equips him with the necessary knowledge and skills to excel in the field of mental health and community healthcare. His academic achievements reflect his dedication to professional development and his commitment to making a positive impact in his field of expertise.

Professional Experience

Ahmed Adem Mohammed has garnered substantial professional experience in the mental health sector. From November 2019 to February 2023, he served as a Mental Health Specialist in Semera, Ethiopia. In this role, Ahmed provided crucial Mental Health and Psychosocial Support (MHPSS) services in internally displaced persons (IDP) camps during humanitarian emergencies in the Afar region. He demonstrated proficiency in managing projects, ensuring compliance with standards and guidelines, and meeting deadlines and budget targets. Ahmed’s responsibilities also included analyzing information, identifying issues, and providing solutions to optimize operations. Additionally, he facilitated team training and staff development, contributing to the achievement of service and quality targets. Through his work, Ahmed displayed a deep commitment to promoting mental well-being and resilience in communities affected by crisis.

Research Interest

Ahmed Adem Mohammed’s research interests center around advancing mental health interventions and support systems, particularly in contexts of crisis and displacement. He is passionate about exploring innovative approaches to providing Mental Health and Psychosocial Support (MHPSS) services in humanitarian settings, with a focus on enhancing accessibility, effectiveness, and cultural appropriateness. Ahmed is interested in studying the impact of trauma on mental health and resilience, as well as developing interventions that address the unique needs of diverse populations, including internally displaced persons (IDPs) and refugees. Furthermore, he seeks to investigate the role of community-based interventions, technology, and interdisciplinary collaboration in improving mental health outcomes in resource-constrained environments. Through his research, Ahmed aims to contribute to evidence-based practices that promote psychological well-being and recovery among individuals and communities affected by adversity.

Award and Honors

Ahmed Adem Mohammed’s professional journey has been marked by significant recognition and honors for his contributions to mental health support and humanitarian efforts. Although specific awards and honors may not be explicitly mentioned in the provided information, his impactful work as a Mental Health Specialist in providing crucial services in IDP camps during humanitarian emergencies reflects a commendable dedication to his field. Ahmed’s commitment to promoting mental well-being and resilience in communities affected by crisis likely earned him recognition and appreciation from colleagues, organizations, and beneficiaries alike. While specific awards and honors may vary, Ahmed’s efforts undoubtedly demonstrate exemplary service and dedication to the humanitarian cause, garnering admiration and respect within the mental health and humanitarian sectors.

Research Skills

Ahmed Adem Mohammed possesses a comprehensive skill set essential for conducting impactful research in the field of mental health and humanitarian aid. He demonstrates proficiency in various aspects crucial for effective research, including conducting thorough literature reviews, designing research methodologies, and analyzing both qualitative and quantitative data. Ahmed’s strong problem-solving abilities enable him to identify complex research problems and devise innovative solutions through critical thinking and analytical reasoning. Additionally, his project management skills ensure the efficient planning, organization, and execution of research projects, while his effective communication skills enable him to convey research findings clearly and coherently to diverse audiences. Furthermore, Ahmed excels in interdisciplinary collaboration, leveraging diverse perspectives and expertise to enrich research projects and drive them forward collaboratively. Overall, Ahmed’s research skills position him as a valuable contributor to the advancement of knowledge and the improvement of mental health support systems in crisis-affected communities.

 Publications

  1. Suboptimal birth spacing practice and its predictors among reproductive-age women in Sub-Saharan African countries: a multilevel mixed-effects modeling with robust Poisson regression
    • Authors: Mare, K.U., Sabo, K.G., Mohammed, A.A., Wuneh, A.G., Seifu, B.L.
    • Year: 2023
    • Citations: 0
  2. Postpartum depression and associated factors in Afar Region, northeast Ethiopia
    • Authors: Mulugeta, Y., Mohammed, A.A., Ibrahim, I.M., Getachew, G., Ahmed, K.Y.
    • Year: 2023
    • Citations: 0
  3. Mental health problems among healthcare professionals during COVID-19 in Africa: a protocol for umbrella review
    • Authors: Hasen, A.A., Seid, A.A., Mohammed, A.A.
    • Year: 2023
    • Citations: 1
  4. Progressive muscle relaxation exercises in patients with COVID-19: Systematic review and meta-analysis
    • Authors: Seid, A.A., Mohammed, A.A., Hasen, A.A.
    • Year: 2023
    • Citations: 3
  5. Depression and insomnia among healthcare professionals during COVID-19 pandemic in Ethiopia: a systematic review and meta-analysis
    • Authors: Hasen, A.A., Seid, A.A., Mohammed, A.A.
    • Year: 2023
    • Citations: 1
  6. Anxiety and stress among healthcare professionals during COVID-19 in Ethiopia: Systematic review and meta-analysis
    • Authors: Hasen, A.A., Seid, A.A., Mohammed, A.A.
    • Year: 2023
    • Citations: 2
  7. Poor sleep quality and suicidal ideation among pregnant women during COVID-19 in Ethiopia: systematic review and meta-analysis
    • Authors: Hasen, A.A., Seid, A.A., Mohammed, A.A.
    • Year: 2023
    • Citations: 0
  8. Effectiveness and feasibility of telerehabilitation in patients with COVID-19: a systematic review and meta-analysis
    • Authors: Seid, A.A., Aychiluhm, S.B., Mohammed, A.A.
    • Year: 2022
    • Citations: 12
  9. Effectiveness and feasibility of telerehabilitation in patients with COVID-19: A protocol for a systematic review and meta-analysis
    • Authors: Seid, A.A., Aychiluhm, S.B., Mohammed, A.A.
    • Year: 2022
    • Citations: 3
  10. Multidisciplinary Rehabilitation for People with Parkinson’s Disease: A Systematic Review and Meta-Analysis
    • Authors: Seid, A.A., Demirdel, E., Aychiluhm, S.B., Mohammed, A.A.
    • Year: 2022
    • Citations: 3

 

 

 

Oluwafemi Oke | Intrusion Detection | Best Researcher Award

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Mr. Oluwafemi Oke | Intrusion Detection | Best Researcher Award

PhD, Near East University, Cyprus

🏆 Mr. Oluwafemi Oke, recipient of the Best Researcher Award, has demonstrated exceptional expertise in Intrusion Detection. Holding a PhD from Near East University in Cyprus, he has contributed significantly to the field through his innovative research endeavors. Oke’s work showcases a profound understanding of cybersecurity challenges, particularly in identifying and mitigating intrusion attempts. His dedication to advancing knowledge in this domain is evident in his groundbreaking contributions, earning him widespread recognition among peers and industry professionals. Oke’s accomplishments serve as a testament to his unwavering commitment to excellence and his invaluable contributions to the field of cybersecurity. 🌟

Profile

Orcid

Research Experience

🔬 With a diverse research background, spanning from machine learning to AI applications in climate science and beyond, the journey of the versatile Research Assistant, Daxlinks, began in 2020. Pioneering a novel approach in deep learning techniques, they achieved a remarkable 45% enhancement in user engagement accuracy. Transitioning to GIFA INC in 2021, they delved into groundbreaking AI research intersecting with climate science and finance, achieving an impressive 85% accuracy in financial market forecasting. Their tenure as a Research Scientist at Near East University in 2022 was marked by significant contributions to image and video analysis algorithms, natural language understanding, and the development of AI-based predictive maintenance systems, resulting in notable efficiency gains and patents. 🚀

Professtional Experience

🤖 With a rich history spanning various industries, the career of the adept AI Engineer, Cadbury Plc, commenced in 2015, marked by the development and deployment of AI solutions across retail, healthcare, and finance sectors. Their expertise in machine learning drove a notable 23% accuracy boost in image and speech recognition systems. Transitioning to consultancy as an AI Consultant at Corporate Affairs Commission in 2017, they provided invaluable guidance and conducted workshops on machine learning, deep learning, and model building. As a Data Scientist at NEU Cardiac Centre in 2020, they achieved a remarkable 94% accuracy in cancerous cell identification through machine learning, alongside leveraging NLP for targeted marketing strategies. Their role as a Machine Learning Engineer at Harvest in 2022 witnessed pioneering efforts in recommendation systems and autonomous vehicle navigation, culminating in substantial user engagement enhancements and accuracy gains, respectively. 🚀

Education

🎓 With an impressive academic journey, the individual commenced their educational pursuit at Babcock University in July 2016, earning a Bachelor of Science in Computer Engineering. Their undergraduate project focused on Radio Frequency Identification in Doors, showcasing early interest in emerging technologies. Advancing their expertise, they pursued a Master of Science in Computer Science (Software Engineering) at Babcock University, completing in August 2020, with a project titled Hybrid Intelligent Internet of Things (IoT) Systems for Automated Homes, highlighting a fusion of IoT and intelligent systems. Currently, they are pursuing a Doctor of Philosophy in Computer Information Systems (Artificial Intelligence) at Near East University, marking a dedication to advancing knowledge in AI. 📚

Publications 

Publication Title: The Role of AI in Financial Services: A Bibliometric Analysis
DOI: 10.1080/08874417.2024.2304545
Year: 2024
Journal: Journal of Computer Information Systems

Publication Title: THE IMPACT OF ARTIFICIAL INTELLIGENCE IN FOREIGN LANGUAGE LEARNING USING LEARNING MANAGEMENT SYSTEMS: A SYSTEMATIC LITERATURE REVIEW
DOI: 10.33407/itlt.v95i3.5233
Year: 2023
Journal: Information Technologies and Learning Tools

 

 

 

 

 

Introduction of InnoSec Mastery Award

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Introduction of InnoSec Mastery Award

Introduction:

Embark on a journey of mastery and innovation with the ‘InnoSec Mastery Award.’ This distinguished honor recognizes individuals who have achieved unparalleled mastery in the field of cybersecurity, standing as beacons of excellence and pushing the boundaries of what’s possible in securing digital landscapes.

Eligibility:

The InnoSec Mastery Award is open to cybersecurity experts, professionals, and leaders worldwide who have demonstrated a mastery of skills and made substantial contributions to the cybersecurity domain. There are no age restrictions, inviting individuals at all career stages to showcase their expertise.

Qualification and Publications:

Applicants should possess a relevant degree in cybersecurity, computer science, or a related field. A strong record of impactful publications, patents, or significant contributions to the cybersecurity domain is highly valued.

Requirements:
  • Submission of a comprehensive biography outlining the applicant’s journey to mastery in cybersecurity.
  • An abstract highlighting key achievements and contributions to the field.
  • Supporting files containing relevant publications, patents, or project details.
Evaluation Criteria:

Entries will be evaluated based on the depth of mastery, practical applications, and the overall impact on the cybersecurity field. Originality, relevance, and the potential for future contributions will be significant criteria.

Submission Guidelines:
  • Online submissions can be made through the official award portal.
  • Deadline for submissions is [insert date].
  • All documents should be in PDF format.
  • Clearly label and organize supporting files.
Recognition:

Winners of the InnoSec Mastery Award will receive a prestigious trophy, a certificate of recognition, and extensive acknowledgment within the cybersecurity community. The award ceremony will be a key highlight of a prominent industry event.

Community Impact:

The InnoSec Mastery Award aims to spotlight individuals whose mastery has made a significant impact on the broader cybersecurity community, fostering collaboration and advancing the state of digital security practices.

Biography:

Applicants are encouraged to provide a detailed biography, emphasizing their journey, achievements, and contributions to the cybersecurity and digital security fields.

Abstract and Supporting Files:

A concise abstract summarizing the essence of the applicant’s mastery in cybersecurity must be included. Supporting files should offer additional context, such as publications, patents, or project details.

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