Assoc. Prof. Dr. Chafaa Maatoug Hamrouni – Electric Vehicules- Robots- Computer sciences – Best Researcher Award

Assoc. Prof. Dr. Chafaa Maatoug Hamrouni - Electric Vehicules- Robots- Computer sciences - Best Researcher Award

Taif University - khurma University Collegue - Saudi Arabia

Author Profile 

GOOGLE SCHOLAR 

🎓Early academic pursuits

Dr. Chafaa Hamrouni embarked on his academic journey with a deep passion for telecommunications and intelligent systems. he pursued rigorous studies in electrical engineering, focusing on satellite communication technologies, fuzzy logic systems, and antenna networks. his early research laid the foundation for his future contributions to next-generation communication systems, including ultra-wideband (uwb) antennas, multiple-input multiple-output (mimo) systems, and femto-satellite communication networks.

🚀 Professional endeavors

Dr. Hamrouni is currently associated with taif university, where he actively contributes to cutting-edge research in satellite communications and artificial intelligence-driven networks. he has collaborated with esteemed institutions and researchers worldwide, leading multiple innovative projects. his expertise spans a broad spectrum, from designing advanced antenna networks for small satellites to optimizing power systems for pico-satellites. his professional journey is marked by an unwavering commitment to technological advancements in wireless communication and signal processing.

⚛️ Contributions and research focus

Dr. Hamrouni has made significant contributions to the field of wireless communications, with a particular emphasis on satellite and small-scale antenna systems. his research explores the development of uwb-mimo antenna arrays, metamaterial-based high-isolation antennas, and intelligent fuzzy logic controllers for smart mobility management. his groundbreaking work in Electric Vehicules- Robots- Computer sciences. energy harvesting relays and error-prone forwarding has provided new insights into optimizing coded cooperative communication. he has also developed innovative methodologies for congestion management in 6g networks and signal processing in mobile systems, pushing the boundaries of modern communication technology.

🏆 Accolades and recognition

Dr. Hamrouni's outstanding research has been published in renowned journals such as computers, materials & continua, international journal of advanced computer science and applications, and journal of multimedia information system. his work on nano-satellites for water quality management and autopilot systems for aircraft models has been widely recognized. he has received Electric Vehicules- Robots- Computer sciences. accolades for his contributions to signal processing, electromagnetic energy recovery, and intelligent electrical power subsystems for pico-satellites. his expertise is frequently sought in international conferences and symposiums, cementing his reputation as a leading researcher in the field.

🔄 Impact and influence

The impact of dr. hamrouni’s research extends far beyond academia. his work on fuzzy logic-controlled antenna networks has influenced the design of next-generation communication Electric Vehicules- Robots- Computer sciences. satellites, while his studies on femto-satellite applications have paved the way for innovative advancements in telecommunications. his contributions to homomorphic cryptosystems have also enhanced data security in cloud computing, ensuring safer and more reliable digital transactions. his influence is evident in the growing adoption of his methodologies in satellite communication and smart mobility management.

🌟 Legacy and future contributions

As a pioneer in the field of intelligent communication systems, dr. hamrouni continues to shape the future of satellite technology. his ongoing research in hierarchical fuzzy logic-based power subsystems for pico-satellites and new optimization techniques for mobile networks is expected to drive significant advancements. his legacy lies in his ability to merge artificial intelligence with satellite communication, creating efficient, high-performance networks for future generations. through his mentorship and collaboration with researchers worldwide, he is nurturing the next wave of innovators who will carry forward his groundbreaking work.

Notable Publications 

  • Title: Design and prototype of a flight microstrip antennas for the Pico satellite ERPSat-1
    Author(s): C. Hamrouni, B. Neji, A.M. Alimi, K. Schilling
    Journal: 2009 4th International Conference on Recent Advances in Space Technologies

  • Title: A new UWB-MIMO multi-antennas with high isolation for satellite communications
    Author(s): C. Abdelhamid, M. Daghari, H. Sakli, C. Hamrouni
    Journal: 2019 15th International Wireless Communications & Mobile Computing

  • Title: ERPSat-1 scientific pico satellite development
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, A.R. Alim, K. Schilling
    Journal: 2010 IEEE International Systems Conference

  • Title: Design and prototype of an image capturing and processing system for ERPSat-1 Pico Satellite
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, K. Schilling
    Journal: 2009 4th International Conference on Recent Advances in Space Technologies

  • Title: Hierarchical fuzzy-logic-based electrical power subsystem for PICO satellite ERPSat-1
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, H. Nakajima, A.R. Alim
    Journal: IEEE Systems Journal

Prof . Balasubbareddy Mallala – Machine Learning – Best Researcher Award 

Prof . Balasubbareddy Mallala - Machine Learning - Best Researcher Award 

Chaitanya Bharathi Institute of Technology, Hyderabad - India 

Author Profile

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Dr. M. Balasubbareddy embarked on his academic journey with a strong foundation in electrical and electronics engineering, earning a b.e. degree with distinction. further advancing his expertise, he pursued an m.tech. in power systems, achieving first-class honors. his relentless pursuit of knowledge culminated in a ph.d. in electrical and electronics engineering, where he delved into cutting-edge research, laying the groundwork for a prolific career. his academic curiosity extended to post-doctoral studies, further cementing his reputation as a dedicated scholar.

💼 Professional endeavors

As a professor at chaitanya bharathi institute of technology (cbit), dr. balasubbareddy has dedicated over two decades to teaching and mentoring. since joining cbit in 2017, he has taken on diverse roles, including membership in the college academic committee, anti-ragging committee, and intellectual property rights cell. his leadership as a convener of the ethics committee and departmental research committee has significantly shaped institutional policies and academic growth. with a career spanning 22 years in teaching and 16 years in research, he remains a cornerstone of excellence in academia.

🔬 Contributions and research focus

Dr. Balasubbareddy's research focuses on power systems, power electronics, and soft computing techniques. his innovative work bridges theoretical advancements and practical applications, contributing to sustainable and efficient energy solutions. as an active researcher, he has guided numerous projects and students, fostering a culture of inquiry and innovation. his Machine Learning participation in various institutional committees ensures the integration of research-driven strategies into curriculum development and academic practices.

🏅 Accolades and recognition

Dr. Balasubbareddy has received numerous prestigious awards that underscore his excellence in teaching and research. notable accolades include the best researcher of the year award from Machine Learning jnt university, the national award for teaching excellence, and the dr. radhakrishna award for engineering college teachers. his achievements also include international recognition, such as the global eminent scientist award and best open source learner awards. these honors reflect his dedication to academic and research excellence over the years.

🌟 Impact and influence

Through his extensive teaching and mentorship, dr. balasubbareddy has influenced countless students and colleagues, fostering a legacy of innovation and excellence. his involvement in nba Machine Learning accreditation, institute innovation, and patenting committees has significantly enhanced the academic framework of cbit. his dedication to fostering interdisciplinary collaboration and industry partnerships exemplifies his commitment to advancing the field of electrical and electronics engineering.

🏛️ Legacy and future contributions

Dr. Balasubbareddy's enduring legacy is built on his passion for education, research, and innovation. his ongoing efforts to integrate cutting-edge research with practical applications continue to inspire the next generation of engineers and researchers. as a dedicated mentor, academic leader, and researcher, he envisions a future where his contributions to power systems and soft computing techniques pave the way for sustainable technological advancements.

Notable Publications 

  • Title: Multi-objective optimization in the presence of practical constraints using non-dominated sorting hybrid cuckoo search algorithm
    Authors: M. Balasubbareddy, S. Sivanagaraju, C. V. Suresh
    Journal: Engineering Science and Technology, an International Journal
  • Title: Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm
    Authors: M. Balasubbareddy
    Journal: Ain Shams Engineering Journal
  • Title: Salp swarm algorithm for solving optimal power flow problem with thyristor-controlled series capacitor
    Authors: B. Mallala, D. Dwivedi
    Journal: Journal of Electronic Science and Technology
  • Title: Generation and utilization of electrical energy
    Authors: S. Sivanagaraju, M. B. Reddy, D. Srilatha
    Journal: Pearson Education India
  • Title: A non-dominated sorting hybrid cuckoo search algorithm for multi-objective optimization in the presence of FACTS devices
    Authors: M. Balasubbareddy, S. Sivanagaraju, C. Venkata Suresh
    Journal: Russian Electrical Engineering

Mr. Abel chai Yu hao – DEEP LEARNING – Young Scientist Award

Mr. Abel chai Yu hao - DEEP LEARNING - Young Scientist Award

SWINBURNE UNIVERSITY OF TECHNOLOGY SARAWAK CAMPUS - Malaysia

Author Profile

ORCID

Early academic pursuits 🎓

Abel chai Yu hao began his academic journey in electrical and electronics engineering at swinburne university of technology, sarawak campus, where he graduated with first-class honors in 2018, achieving an impressive cgpa of 3.97/4. his final year project, focused on wireless communication using led technology, sparked his interest in cutting-edge fields of wireless systems. prior to this, abel completed his malaysian higher school certificate (stpm) at smk sungai tapang in sarawak, malaysia, demonstrating early potential with a solid cgpa of 3.17/4.

Professional endeavors 🏢

Following his undergraduate success, abel advanced to a master's in engineering at swinburne university, specializing in wireless communication and rural connectivity. during this period, he further developed his technical expertise, contributing to initiatives that aimed at improving rural connectivity through wi-fi technologies. now, as a doctoral candidate at swinburne university, abel's research focuses on computer vision, machine learning, deep learning, and artificial intelligence, positioning him at the forefront of innovation in these fields.

Contributions and research focus 🔬

Abel’s primary research contributions lie in the field of artificial intelligence and wireless communications. during his master's program, he DEEP LEARNING focused on wireless networks in rural areas, where his work contributed to enhancing wi-fi-based solutions for remote connectivity. his current phd research explores the integration of computer vision and deep learning, investigating novel approaches to advance the capabilities of ai-driven systems. his work holds the potential to revolutionize both communication systems and intelligent automation processes.

Accolades and recognition 🏅

throughout his academic career, abel has been recognized for his academic excellence and research contributions. graduating with high distinction in his bachelor's program, abel’s achievements have earned him accolades from swinburne university. his dedication and research DEEP LEARNING potential have also led to his current pursuit of a phd, where he is recognized for his work in artificial intelligence and computer vision.

Impact and influence 🌍

Abel’s work, particularly in rural connectivity and artificial intelligence, has the potential to make a significant impact. by focusing on wireless communication solutions for underserved regions, abel has helped to bridge the digital divide. his ongoing research in ai and machine learning DEEP LEARNING could lead to advancements in automated systems that have applications across industries, including healthcare, security, and communications, bringing tangible benefits to society.

Legacy and future contributions 🔮

Abel chai yu hao’s academic and research journey reflects a strong commitment to pushing the boundaries of technology. his contributions to rural wireless connectivity and his current research in computer vision will continue to influence future technological developments. as he advances in his phd studies, his innovative ideas are set to leave a lasting legacy in the fields of ai and machine learning, and his work will undoubtedly inspire future generations of engineers and researchers.

Notable Publications