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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