Dr. Sampath Dakshina Murthy Achanta | Machine Learning | Best Innovation Award

Dr. Sampath Dakshina Murthy Achanta, Vignan’s Institute of Information Technology, India

Dr. Achanta Sampath Dakshina Murthy is a distinguished academic and innovator currently serving as a Senior Associate Professor in the Department of Electronics and Communication Engineering at Vignan’s Institute of Information Technology (Autonomous), Visakhapatnam. He is also the Head of the Vignan Centre for Innovations and Start-ups. With a Ph.D. in Image Processing from KL University, Andhra Pradesh, Dr. Murthy brings a strong foundation in digital electronics, communication systems, and biomedical signal analysis. He has over nine years of teaching experience and one year of industry exposure. His contributions to academia include more than 70 research publications, 20 research awards, six granted patents, ten design patents, and multiple funded projects. His research interests encompass human motion analysis, biomedical image and video processing, and IoT-enabled assistive technologies. Notably, his doctoral work focused on intelligent gait analysis using AI-driven IoT sensors for fall prediction in physically challenged individuals. He actively mentors students, coordinates institutional quality assurance (IQAC), and fosters innovation through successful incubation projects like ScitiSense and Illuminisense. Recognized for his academic leadership and innovation ecosystem contributions, Dr. Murthy is also an editor of the “Futuristic Trends in IoT” book series and a reviewer on multiple editorial boards.

Professional Profile:

ORCID

SCOPUS

GOOGLE SCHOLAR

🏆 Summary of Suitability: Best Innovation Award

Dr. Achanta Sampath Dakshina Murthy stands out as a trailblazer in academic innovation, applied research, and translational technology development, making him an ideal candidate for the Best Innovation Award. With a strong foundation in Image Processing, Biomedical Engineering, and IoT-enabled healthcare, his contributions are both technologically advanced and socially impactful.

🎓 Education

Ph.D. in Image Processing – 2023, KL University, Andhra Pradesh
M.Tech in Digital Electronics and Communication Systems – 2015, JNTU Kakinada
B.Tech in Electronics and Communication Engineering – 2013, JNTU Kakinada
Intermediate (M.P.C) – 2009, Board of Intermediate, A.P
X (CBSE) – 2007, Central Board of Secondary Education, Delhi

💼 Work Experience

👨‍🏫 Senior Associate Professor (From April 1, 2025 – Present)
Vignan’s Institute of Information Technology (A), Visakhapatnam
👨‍🏫 Associate Professor (Dec 27, 2023 – March 31, 2025)
Same institute
👨‍🏫 Assistant Professor (June 15, 2016 – Dec 26, 2023)
🛠️ Technician, Nirmala Industries, Auto Nagar (June 1, 2015 – June 13, 2016)

Current Roles:

🚀 Head, Vignan’s Centre for Innovations & Start-ups (Aug 19, 2024 – Present)
🧪 Associate Dean, R&D (Feb 19, 2024 – Aug 19, 2024)
🏛️ IQAC Coordinator (Oct 26, 2021 – May 31, 2025)

🏆 Achievements

📜 Ph.D. Awarded in presence of Hon’ble Sri Ramnath Kovind & Governor of A.P (Nov 30, 2024)
📩 Letter of Appreciation as ARIIA Coordinator by IIC for innovation & entrepreneurship efforts (2022–23)
📘 Editor of “Futuristic Trends in IoT” – IIP Series, 2023
🙌 Appreciation for Research & Innovation by Chairman Dr. Lavu Rathaiah Garu (May 2023)
🧠 SYRF Membership, Scholars Academic & Scientific Society (2021)
📜 Ratified as Assistant Professor by JNTU Kakinada (2016)
🏅 Outstanding Academic Performance in B.Tech, Vizag Institute of Technology (2011)

🧬 Research, Awards & Innovations

📈 Scopus h-index: 15
📝 Research Papers Published: 70
🏅 Research Awards: 20
🧠 Patents: 4 Published | 6 Granted
🧩 Design Patents: 10
©️ Copyrights: 4
📚 Books Published: 7
📋 Editorial Board/Reviewer: 15
🏵️ Certificates of Appreciation: 100+

💡 Project Grants

🥾 Smart Shoe project under STPI Chunauti 2.0 – ₹90,000 Grant (2022–2023)
🧬 ScitiSense startup incubated at MedTech CoE, STPI Lucknow (2024)
🌐 Illuminisense incubated at AIC STPI, Bengaluru – OCP 6.0 (2024)

Publication Top Notes:

Numerical Investigation Using Machine Learning Process Combination of Bio PCM and Solar Salt for Thermal Energy Storage Applications

A wireless IOT system towards gait detection technique using FSR sensor and wearable IOT devices

Machine Learning Algorithms for Anomaly Detection in IoT Networks

Prediction and Prevention of Malicious URL Using ML and LR Techniques for Network Security

An IoT-based agriculture maintenance using pervasive computing with machine learning technique

An automated detection of heart arrhythmias using machine learning technique: SVM

Executing CNN-LSTM Algorithm for Recognizable Proof of Cervical Spondylosis Infection on Spinal Cord MRI Image

Implementation of online and offline product selection system using FCNN deep learning: Product analysis

Kanika | Machine Learning | Best Researcher Award

Ms. Kanika, National institute of technology Agartala, India.

Ms. Kanika, hailing from Hasanpur, Haryana, is an enthusiastic researcher with a strong passion for applied mathematics and advanced computing technologies . Her expertise spans optimization, uncertainty theory, numerical analysis, graph theory, artificial intelligence , and machine learning. With an M.Sc. in Mathematics and Computing from NIT Agartala, where she ranked 6th, and a B.Sc. in Mathematics, Physics, and Computer Science from Banasthali Vidyapith, she has consistently demonstrated academic excellence. Kanika is driven to solve real-life problems through mathematics and is currently working on a machine-learning research paper while aspiring to contribute to computational imaging and AI.

Publication Profiles

Googlescholar

Education and Experience

Education

M.Sc. in Mathematics and Computing (2021–2023), NIT Agartala: 89.5%, 8.95/10, Rank:
B.Sc. in Mathematics, Physics, and Computer Science (2017–2020), Banasthali Vidyapith: 85.8%, 8.58/10
Senior Secondary Examination (2016–2017), Board of School Education Haryana: 85.0%
Secondary Examination (2014–2015), Board of School Education Haryana: 91.4%

Experience

M.Sc. Thesis (2022–2023) at NIT Agartala: Focused on portfolio optimization under uncertainty .

Suitability For The Award

Ms. Kanika is an exceptional candidate for the Best Researcher Award, showcasing a strong academic foundation, innovative research contributions, and a deep commitment to advancing applied mathematics, machine learning, and artificial intelligence. Her dedication to leveraging mathematical and computational tools for solving real-world problems highlights her potential to make a significant impact in her field.

Professional Development

Kanika’s professional journey showcases her dedication to research and continuous learning . She has gained expertise in machine learning , MATLAB , and scientific computing . Her technical skills extend to programming languages like C/C++ and database management systems . As a mathematics enthusiast, she has completed rigorous training programs like the Mathematics Training and Talent Research (MTTS) and the National Mathematics Talent Contest . She actively participates in workshops and online programs, enhancing her skills in cutting-edge mathematical technologies . Kanika is also a certified karateka , showcasing her versatile interests beyond academics.

Research Focus

Ms. Kanika’s research interests lie at the intersection of applied mathematics and emerging technologies . Her focus areas include optimization , uncertainty theory, numerical analysis, graph theory, machine learning , and artificial intelligence. She aims to bridge theoretical mathematics with practical computing applications , contributing to fields like computational imaging and decision-making under uncertainty. Currently working on a machine-learning research paper , Kanika aspires to tackle real-life problems using her expertise in applied mathematics and AI. Her passion for solving complex problems drives her to explore innovative solutions in these interdisciplinary domains.

Awards and Honors

IIT JAM 2021 : All India Rank 2169 (Mathematical Sciences).
MTTS Level 1 : Selected in the top 20 students, IISER Thiruvananthapuram (2020).
Banaras Hindu University Entrance Exam : All India Rank 363 (Mathematical Sciences, 2020).
Common Entrance Exam (CEE) by NCERT : State Rank 63 (General), NCERT (2017).
National Mathematics Talent Contest : Top 10%ile, Junior Level Screening Test, AMTI (2014).
Certified Karateka : 8th, 7th, and 6th Kyu (Blue Belt), JKMO (2018).
Olympic Value Education Program Ambassador : Honored by Banasthali Vidyapith (2017).

Publication Top Notes

Tools and techniques for teaching computer programming: A review – Journal of Educational Technology Systems, 2020, Cited by: 88
Effect of different grouping arrangements on students’ achievement in collaborative learning – Interactive Learning Environments, 2023, Cited by: 12
Genetic algorithm‐based approach for making pairs and assigning exercises in programming – Computer Applications in Engineering Education, 2020, Cited by: 8
Enriching WordNet with subject-specific out-of-vocabulary terms using ontology – Data Engineering for Smart Systems, 2022, Cited by: 6
KELDEC: A recommendation system for extending classroom learning with visual cues – Proceedings of SSIC, 2019, Cited by: 6
VISTA: A teaching aid to enhance contextual teaching – Computer Applications in Engineering Education, 2021, Cited by: 3
Linking classroom studies with dynamic environment – International Conference on Computing, Power and Communication, 2019, Cited by: 2
Effect of varying the size of the initial parent pool in genetic algorithm – International Conference on Contemporary Computing and Informatics, 2014, Cited by: 2
A review of English to Indian language translator: Anusaaraka – International Conference on Advances in Computer Engineering & Applications, 2014, Cited by: 2