Chaitanya Bharathi Institute of Technology, Hyderabad - India

Author Profile

🎓 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

Dr. Yosr Ghozzi – Deep learning – Excellence in Research

Posted on 09/08/202409/08/2024 by sciencefatherLeave a Comment

Dr. Yosr Ghozzi - Deep learning - Excellence in Research

University of Sfax - Tunisia

AUTHOR PROFILE

SCOPUS

ORCID

EARLY ACADEMIC PURSUITS 🎓

Yosr Ghozzi embarked on her academic journey with a strong focus on technological innovation and medical applications. She earned her Ph.D. from the National Engineering School of Sfax (ENIS) in 2022, which marked the beginning of her career as a teacher-researcher. Her academic background is rooted in artificial intelligence, deep learning, and medical imaging, laying the foundation for her future contributions to the field.

PROFESSIONAL ENDEAVORS 🏥

Since 2022, Yosr has been a dedicated teacher and researcher at ISIMS/University of Sfax in Tunisia. Her work is characterized by a strong focus on artificial intelligence and its applications in medical diagnostics. Her role as a researcher has allowed her to contribute significantly to both academic and industrial projects, with a notable project being the KAFSS, which involves molecular kits and digital applications for facial prediction and dysmorphia.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Yosr's research is at the intersection of artificial intelligence and medical imaging. She has made significant strides in the use of deep learning Deep learning combined with fuzzy logic to address the challenges of content-based image retrieval (CBIR) systems. Her work in this area is particularly relevant for computer-aided diagnosis, where CBIR systems can aid in detecting abnormalities and classifying medical images based on their content and medical context.

ACCREDITATIONS AND RECOGNITION 🏆

Yosr's contributions to research have not gone unnoticed. In 2022, she was awarded the prestigious title of Best Innovative Researcher at TICAD 8. Her research has also been published in two journals indexed by SCI and Scopus, and she has been involved in the editorial process of six Deep learning conferences, further establishing her as a recognized figure in her field.

IMPACT AND INFLUENCE 🌍

Yosr's research has a significant impact on the medical and technological fields, particularly in the development of advanced diagnostic tools. Her collaboration with international researchers from the University of Essex and the University of Johannesburg highlights her global influence. Her Deep learning work in AI and deep learning contributes to improving the accuracy and efficiency of medical diagnostics, potentially saving lives through early detection and intervention.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Yosr Ghozzi is set to leave a lasting legacy in the fields of artificial intelligence and medical imaging. Her innovative approaches to using deep learning for medical applications position her as a pioneer in her field. As she continues her research, Yosr's contributions will likely inspire future advancements in AI-driven healthcare solutions, ensuring her work's lasting impact on both academia and the medical community.

NOTABLE PUBLICATIONS

Interval Type-2 Beta Fuzzy Near Sets Approach to Content-Based Image Retrieval 2022(13)

Competencies based curricula (Electro-Mechanical Department Case Study) 2019(1)

A beta-fuzzy-near-sets approach to research for visually similar content images 2017(3)

A novel method for resemblance images using near fuzzy set 2016(2)

Modelling and numerical simulation of thick sheet double slitting process using continuum 2014(7)

Dr. Ajay K. Palit – Computational Intelligence – Best Researcher Award

Posted on 27/07/202427/07/2024 by sciencefatherLeave a Comment

Dr. Ajay K. Palit - Computational Intelligence - Best Researcher Award

University of Bremen - Germany

Professional Profile

SCOPUS

EARLY ACADEMIC PURSUITS 🎓

Ajay K. Palit and Dobrivoje Popovic, distinguished scholars in the field of computational intelligence, began their academic journeys with a robust foundation in engineering and mathematics. Their early work laid the groundwork for their future contributions to the field of time series forecasting and industrial process control. Both scholars pursued advanced studies and research in their respective areas, developing a deep understanding of computational techniques and their applications in real-world scenarios.

PROFESSIONAL ENDEAVORS 🏢

Dr. Ajay K. Palit and Dr. Dobrivoje Popovic are both affiliated with the University of Bremen, Germany, where they continue to drive innovation in computational intelligence. Their professional careers are marked by significant roles in academia and industry, focusing on enhancing the effectiveness of time series forecasting through advanced computational techniques. Their expertise extends to the practical applications of these techniques in industrial systems and process control.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Palit and Popovic have made notable contributions to the field of computational intelligence, particularly in time series forecasting. Their research encompasses a range of intelligent technologies, including neural networks, fuzzy logic, and evolutionary computation. They have pioneered hybrid computational approaches, such as neuro-fuzzy and transparent fuzzy/neuro-fuzzy modeling, which offer improved quality, Computational Intelligence model building, and predictive control in industrial processes. Their work addresses the challenges of on-line application and computational efficiency in industrial settings.

ACCREDITATIONS AND RECOGNITION 🏅

Their pioneering work has been widely recognized and has earned them respect in the academic and industrial communities. The book "Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications" by Palit and Popovic is acclaimed for its Computational Intelligence comprehensive exploration of intelligent technologies and their practical applications. The authors' contributions are integral to the ongoing development and refinement of computational tools used in industrial process control and forecasting.

IMPACT AND INFLUENCE 🌍

The influence of Palit and Popovic’s work extends across various industries, including manufacturing, process control, and research. By advancing computational intelligence techniques, they have significantly improved the ability to forecast and control industrial processes. Their research has helped bridge the gap between theoretical knowledge and practical application, making a tangible impact on industrial efficiency Computational Intelligence and predictive accuracy.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Ajay K. Palit and Dobrivoje Popovic continue to inspire and lead in their field, shaping the future of computational intelligence in time series forecasting. Their legacy is reflected in their innovative approaches and the ongoing relevance of their research in addressing complex industrial challenges. As they advance their work, they remain committed to exploring new computational techniques and applications, ensuring their contributions will have a lasting impact on the field.

NOTABLE PUBLICATIONS

Fault diagnosis of crosstalk induced glitches and delay faults 2010(1)

Test pattern generation and compaction for crosstalk induced glitches and delay faults 2010(6)

Decoupled victim model for the analysis of crosstalk noise between on-chip coupled interconnects 2009(14)

Equivalent victim model of the coupled interconnects for simulating crosstalk induced glitches and delays 2009(7)

Distributed RLGC transient model of coupled interconnects in DSM chips for crosstalk noise simulation 2008(8)

Dr. S. Gopal Krishna Patro – Machine Learning and Deep Learning – Best Researcher Award

Posted on 11/07/202411/07/2024 by sciencefatherLeave a Comment

Dr. S. Gopal Krishna Patro - Machine Learning and Deep Learning - Best Researcher Award

Woxsen University - India

Professional Profile

SCOPUS

ORCID

Early Academic Pursuits

Dr. S. Gopal Krishna Patro embarked on his academic journey with a focus on computer science and engineering. His dedication to education and research is evident from his extensive teaching experience, which began shortly after completing his advanced studies. His early academic pursuits laid a strong foundation in various aspects of computer science, particularly in automata theory, formal language, and neural networks.

Contributions and Research Focus

Dr. Patro's research and teaching interests span a wide range of topics within computer science. His undergraduate teaching interests include automata theory, formal language, and neural networks. For postgraduate students, he focuses on data mining, data warehousing, and machine learning, particularly recommender systems. His contributions to these fields involve both theoretical exploration and practical applications, Machine Learning and Deep Learning preparing students for both academic and industry careers.

Accolades and Recognition

Throughout his career, Dr. Patro has been recognized for his dedication to teaching and his contributions to academia. His administrative roles, including professor-in-charge of the exam section and coordinator positions, highlight his leadership abilities and commitment to improving Machine Learning and Deep Learning educational outcomes.

Impact and Influence

Dr. Patro's impact extends beyond the classroom. His involvement in placement coordination at GIET University helped bridge the gap between academia and industry, providing students with valuable career opportunities. His role in managing the exam section at K L Deemed to be Machine Learning and Deep Learning University ensured the smooth functioning of academic assessments, contributing to the overall academic integrity of the institution.

Legacy and Future Contributions

Dr. Patro continues to influence the field of computer science education through his teaching, administrative roles, and research. His legacy is marked by his commitment to student success and his efforts to enhance the academic and professional pathways for his students. As he continues his career at Woxsen University, his future contributions are anticipated to further advance the fields of data mining, machine learning, and neural networks, fostering innovation and excellence in computer science education.

NOTABLE PUBLICATIONS

Removing fluoride ions from wastewater by Fe₃O₄ nanoparticles: Modified Rhodophytes (red algae) as biochar 2024(1)

PETLFC: Parallel ensemble transfer learning based framework for COVID-19 differentiation and prediction 2024(11)

Analyzing the impact of loan features on bank loan prediction using Random Forest algorithm 2024(2)

Performance, Combustion, and Emission analysis of diesel engine fuelled with pyrolysis oil blends 2024(2)

CIA-CVD: cloud based image analysis for COVID-19 vaccination distribution 2023(1)