Dr. Ravi Kumar Suggala

Dr. Ravi Kumar Suggala, Assistant Professor (Department of Information Technology), Shri Vishnu Engineering College for Women

 

I am Dr. Ravi Kumar Suggala, an academic currently serving as an Assistant Professor in the Department of Information Technology at Shri Vishnu Engineering College for Women in Bhimavaram, Andhra Pradesh, where the department is led by Dr. D.V. Nagaraju. Additionally, I hold the role of Associate Coordinator for the Dean of Information and Communication Technology, Prof. P. Venkata Rama Raju.

With a career spanning over 20 years in academia, I hold a Master's degree in Technology (M.Tech.) from JNTU Kakinada. I further pursued and successfully completed my Ph.D. at Centurion University of Technology and Management under the guidance of Dr. Sangram Keshari Swain and Dr. M. Vamsi Krishna.

 

My primary research focus lies in applying machine learning and deep learning techniques in the healthcare domain. My doctoral work specifically addressed the prediction of epidemic disease outbreaks utilizing machine learning methodologies. Over the years, I have contributed significantly to the field and have around 15 publications in reputed Scopus and SCI journals. In the pursuit of my research endeavors, I have received valuable assistance from Dr. A. Sri Krishna, Head of the Department of Artificial Intelligence, particularly in the implementation and analytical aspects of my work.

 

Indeed, in addition to my academic research, I have actively contributed to the development of various software applications that enhance the efficiency and effectiveness of educational processes. Notably, I have been involved in the creation of an automation process for an autonomous examination system for our engineering college, streamlining the examination processes and ensuring a more seamless experience for both students and faculty. Furthermore, I have worked on the implementation of a feedback system where students can provide valuable input on faculty performance. This system fosters communication and continuous improvement within the academic community, creating a constructive feedback loop.

 

Additionally, I have designed an Automated OMR Mark Extraction System specifically tailored for Optical Mark Recognition (OMR) mark sheets. This software application facilitates the quick and accurate processing of examination results, reducing manual efforts and minimizing the chances of errors.

 

These software applications aim to enhance the overall educational experience, making administrative processes more efficient and contributing to the continuous improvement of teaching, learning, and assessment in the academic environment.

 

 

Professional journey of Prof. Dr. Ravi Kumar Suggala

 

My professional journey has been characterized by a dedication to academia and a commitment to advancing knowledge in the field of information technology. Here's a brief overview:

 

After completing my graduation, I embarked on my teaching career at Shri Vishnu Engineering College for Women in Bhimavaram, Andhra Pradesh. Over the past 20 years, I have served as an Assistant Professor, actively engaging in teaching, research, technology improvement, and contributing to the academic community.

 

During this time, I pursued a Ph.D. at Centurion University of Technology and Management under the guidance of Dr. Sangram Keshari Swain and Dr. M. Vamsi Krishna. My research focus has been on applying machine learning and deep learning techniques to address challenges in the healthcare domain, with a particular emphasis on predicting outbreaks of epidemic diseases.

 

Apart from my research endeavors, in my professional journey as an academia, I actively engage in teaching a variety of information technology-related subjects, encompassing both theoretical concepts and practical applications. Beyond the classroom, I extend support to students, aiding them in securing placements within reputed software industries. Additionally, I am dedicated to continuous learning and the applications of Information and Communication Technology (ICT) tools to enhance the educational experience, drawing on valuable insights gained from the Vishnu Educational Development and Innovation Center (VEDIC) to benefit the students.

 

Throughout my journey, I have strived to integrate my passion for technology growth and teaching, contributing both to the academic community and the practical application of innovative solutions in education.

 

 

Roles and Responsibilities of Prof. Dr. Ravi Kumar Suggala

 

Certainly, as an Assistant Professor at Shri Vishnu Engineering College for Women, my roles and responsibilities encompass a broad spectrum of activities, spanning teaching, research, and academic administration. Here's an overview:

 

Teaching:

 

Delivering lectures and conducting practical sessions for undergraduate and postgraduate students in the fields of web technology, full-stack development, and artificial intelligence.

Developing and updating course materials to align with the latest industry trends and academic standards.

Mentoring students and providing guidance on academic and career-related matters.

 

Research:

 

Conducting cutting-edge research in the application of machine learning techniques to healthcare problems. Publishing research findings in reputable journals and presenting at national and international conferences.

Supervising and guiding Graduate students in their research projects.

 

Academic administration:

 

Serving on various academic committees, contributing to decision-making processes related to curriculum development, assessment, and policy formulation.

Participating in the development and implementation of academic programmes and initiatives.

Contributing to the accreditation and quality assurance processes of the institution.

 

Software development:

 

Designing and developing software applications to streamline examination processes, faculty feedback, and mark scanning from OMR sheets.

Collaborating with colleagues and IT professionals to ensure the effective implementation and maintenance of these applications.

 

Professional development:

 

Staying abreast of the latest advancements in the fields of full-stack development and artificial intelligence through continuous learning, attending conferences, and engaging in professional development activities.

Actively participating in workshops, seminars, and training programmes to enhance teaching methodologies and research skills.

Overall, my role as an Assistant Professor involves a dynamic combination of teaching, research, and administrative duties, all aimed at contributing to the academic and professional development of students and the institution.

 

 

Publications of Dr. Ravi Kumar Suggala

 

My contributions to publications reflect my commitment to advancing knowledge in the field of machine learning applied to healthcare. Here is an overview of my contributions to publications:

 

Research papers:

 

I have authored and co-authored research papers in reputable Scopus and SCI journals, contributing to the academic discourse on the application of machine learning techniques in healthcare.

Topics covered include the prediction of epidemic disease outbreaks, advancements in predictive modelling, and the integration of technology in healthcare scenarios.

 

Conference presentations:

 

Presented research findings at national and international conferences, fostering discussions and collaborations within the academic and research communities.

Engaged in dialogue with peers and experts to share insights and receive valuable feedback on the methodologies and results presented in my research.

 

Collaborative Projects:

 

Collaborated with fellow researchers, both within the institution and in external partnerships, to contribute to joint research projects.

Actively participated in interdisciplinary research initiatives, leveraging collective expertise for comprehensive and impactful research outcomes.

 

Supervision of Research Projects:

 

I supervised graduate students in their research projects, guiding them through the research process, methodology development, and analysis of results.

Facilitated an environment conducive to innovative thinking and research exploration.

 

Reviewing for journals:

 

Engaged in the peer review process for academic journals, providing constructive feedback on research manuscripts submitted by other scholars.

Contributed to the quality assurance and validation of research within the broader academic community.

These contributions collectively aim to contribute to the body of knowledge at the intersection of machine learning and healthcare, with a focus on practical applications and solutions to real-world challenges.

 

 

Details of Research Papers:

1.   Ravi Kumar Suggala. (2019). A survey on prediction approaches for epidemic disease outbreaks based on social media data. International Journal of Advanced Trends in Computer Science and Engineering, 8(3), pp.897–908. doi:https://doi.org/10.30534/ijatcse/2019/86832019.

2.   Suggala, R.K., Dr. Vamsi Krishna,. and Dr.Swain, S.K. (2023). Discover the New Factor for Dengue Fever Outbreaks and Predicted using Bayes Network-PSO (BN-PSO). Journal of Information Science and Engineering, 39(6), pp.1383–1401. doi:https://doi.org/10.6688/JISE.202311_39(6).0009.

3.   Ravi Kumar Suggala, M. Vamsi Krishna and Swain, S.K. (2023). Reliable Epidemic Outbreak Prevention in Opportunistic Iot Based On Optimized Block Chain. International Journal of Automation and Smart Technology, 13(1), pp.2410–2410. doi:https://doi.org/10.5875/ausmt.v13i1.2410.

4.   Suggala, R.K., Krishna, M.V. and Swain, S.K. (2022). Health monitoring jeopardy prophylaxis model based on machine learning in fog computing. Transactions on Emerging Telecommunications Technologies. doi:https://doi.org/10.1002/ett.4497.

5.   Ravi Kumar Suggala, Swain, S.K., M. Vamsi Krishna and Ramchandrapur (2021). Time Series Data based COVID-19 Prognostic using Support Vector Machine. International journal of engineering research and technology, 9(5).

6.   Ravi Kumar Suggala., Dr.Mangalampalli, V.K. and Dr.Swain, S.K. (2020). Deep Belief Neural Network (DBN) and Whale Optimization Algorithm (WOA) for the Prediction of Disease from EHR. TEST Engineering and management, 83(May - June 2020), pp.14268–14276.

 

 

The software industry and its challenges

 

From the vantage point of my experience in academia and involvement in software development for educational applications, I perceive several challenges in the software industry. These challenges reflect the ever-evolving nature of technology and its impact on various sectors. Here are some key aspects:

 

Rapid technological advancements:

 

The rapid pace of technological advancements poses a constant challenge for software professionals. Staying updated with the latest programming languages, frameworks, and tools is essential but can be demanding, particularly for those working on legacy systems.

 

Security concerns:

 

With the increasing complexity of software systems, ensuring robust cybersecurity measures has become a critical challenge. Cyber threats, data breaches, and vulnerabilities in software applications require constant vigilance and proactive strategies to safeguard user information and system integrity.

 

Software quality assurance:

 

Maintaining high software quality remains a persistent challenge. Testing and validating software to ensure its functionality, reliability, and performance are crucial, especially in an era where users expect seamless experiences and quick updates.

 

Talent shortage and skill gap:

 

The demand for skilled software professionals often outstrips the available talent. Bridging the skill gap and recruiting individuals with the right expertise in emerging technologies are persistent challenges for the industry.

 

Legacy system modernization:

 

Many organizations still rely on legacy systems, which can be challenging to maintain and update. Modernizing these systems to align with current technological standards without disrupting ongoing operations is a significant undertaking.

 

Interoperability and Integration:

 

Ensuring seamless interoperability and integration between different software systems is an ongoing challenge, especially as organizations adopt a diverse range of tools and platforms. Compatibility issues can hinder the efficient functioning of interconnected systems.

 

User experience and accessibility:

 

Meeting user expectations for intuitive and accessible software interfaces is a perpetual challenge. Balancing aesthetics with functionality and ensuring accessibility for diverse user groups require careful design and development considerations.

Addressing these challenges requires a collaborative and proactive approach from the software industry, academia, and relevant stakeholders. Continuous learning, adaptation to evolving technologies, and a commitment to ethical and user-centric

 

 

New era of career growth and stability depends on a lifelong learning cycle

 

My advice for the upcoming generation, especially those venturing into the fields of technology and academia, is to cultivate a mindset of lifelong learning, adaptability, and resilience, build a diverse skill set, foster networks, stay curious, balance technology with humanity, and set purpose-driven goals for a successful and fulfilling career in the dynamic landscape of technology and academia. In the constantly changing realm of technology and knowledge, it is crucial to adapt, acquire new skills, and embrace change.

 

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