Manish Kumar Chandan | Computer Science | Best Researcher Award

Posted on by Indian Scientist

Mr. Manish Kumar Chandan | Computer Science | Best Researcher Award

Guru Ghasidas Vishwavidyalaya, bilaspur c.g, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Manish Kumar Chandan’s academic foundation was laid with a B.Sc. in Computer Science from Atal Bihari Vajpayee Vishwavidyalaya (ABVV), Bilaspur, completed in 2020. Driven by a deep interest in computational systems and intelligent algorithms, he pursued a Master of Computer Applications (M.C.A.) from Guru Ghasidas Vishwavidyalaya (GGV), a Central University, graduating in 2022. His academic excellence and curiosity in data-driven systems led him to enroll in Ph.D. in Computer Science and IT at the same university, marking the beginning of a promising research journey.

🏢 PROFESSIONAL ENDEAVORS

Currently serving as a Research Scholar at the Department of Computer Science and IT, GGV Bilaspur, Manish has been actively involved in academic research and machine learning application development. His professional projects include Gold Price Prediction and Air Pollution Forecasting, both developed using ML/DL models and real-time datasets from CPCB. He also holds certifications in advanced AI, data science, and deep learning, demonstrating a strong commitment to continual learning and innovation.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Manish’s core research area revolves around Natural Language Processing (NLP), Multilingual Sentiment Analysis, and Hybrid Deep Learning Architectures. His Ph.D. research focuses on “Code-Mix Sentiment Analysis”, addressing the growing complexities of multilingual social media data. His contributions include:

  • A published survey paper on Sentiment Analysis Techniques, covering frameworks, challenges, and future directions.

  • Proposed an Attention-Augmented CNN–BiLSTM model for Hindi sentiment classification with a notable 92.81% accuracy.

  • Developed a hybrid Word2Vec + DistilBERT-based CNN–BiLSTM model, improving cross-domain sentiment classification on IMDb and Yelp datasets.

🌍 IMPACT AND INFLUENCE

Though in the early stage of his research career, Manish’s work already shows potential for real-world applications in social media monitoring, policy sentiment mapping, and digital language processing. His approaches aim to support multilingual populations, especially in India, by bridging the gap in code-mixed sentiment interpretation. With the rise of digital platforms, such research can aid governments, businesses, and healthcare sectors in public opinion analysis and customer behavior forecasting.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Manish aims to develop a comprehensive framework for Multilingual and Code-Mixed Sentiment Analysis capable of adapting to low-resource languages. Future contributions will target:

  • AI tools for regional languages

  • Emotion detection in conversational AI

  • Cross-lingual and domain adaptation methods

He also plans to mentor junior researchers, publish in top-tier journals (e.g., ACL, EMNLP, IEEE-TKDE), and contribute to open-source NLP models for Indian languages.

 ✅CONCLUSION

Manish Kumar Chandan is a promising young researcher in the field of Computer Science, making meaningful strides in AI, NLP, and Multilingual Sentiment Analysis. His academic rigor, innovative mindset, and socially impactful research make him a deserving candidate for recognition under the Indian Scientist Award. As he advances his research journey, Manish is poised to become a key contributor to India’s AI innovation ecosystem.

🔬NOTABLE PUBLICATION:

A comprehensive survey on sentiment analysis: Framework, techniques, and applications

Authors: M.K. Chandan, S. Mandal

Journal: Computer Science Review

Year: 2025

Nisha Agrawal | Computer Science | Best Researcher Award

Posted on by Indian Scientist

Nisha Agrawal | Computer Science | Best Researcher Award

Centre for Development of Advanced Computing, India

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Ms. Nisha Agrawal began her academic journey with a Bachelor of Engineering (B.E.) in Information Technology from the University of Rajasthan (2001–2005). Demonstrating exceptional academic excellence, she went on to pursue a Master of Technology (M.Tech) in Computer and Information Technology from Savitribai Phule Pune University (2016–2018), graduating with an Outstanding grade. Her early interest in computational systems and performance optimization laid the foundation for a career immersed in high-performance computing (HPC) and GPGPU technologies.

🏢 PROFESSIONAL ENDEAVORS

Ms. Agrawal has been associated with the Centre for Development of Advanced Computing (C-DAC), Pune since 2005, rising through the ranks to her current role as Scientist E. Over the past two decades, she has been instrumental in architecting, optimizing, and deploying scientific applications on India’s national supercomputing infrastructures. A NVIDIA-Certified Mentor, she actively mentors teams in global OpenHackathons, nurturing the next generation of HPC professionals.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Her core research interests span:

  • GPGPU Computing: CUDA, OpenACC, OpenCL

  • Parallel Programming Models: MPI, OpenMP

  • Application Porting & Optimization: ANUGA (Flood modeling), WRF (Weather simulation), NAMD (Molecular dynamics), DFT (Density Functional Theory)

She has extensively worked on heterogeneous architectures (CPU+GPU), focusing on performance tuning and energy efficiency of HPC workloads. Her work contributes significantly to the computational sciences, particularly in areas demanding real-time and large-scale simulation capabilities.

🏅 ACCOLADES AND RECOGNITION

With over a dozen peer-reviewed publications, including those in IEEE, ACM, Springer, and SupercomputingAsia, Ms. Agrawal has established herself as a recognized voice in scientific computing. Some key contributions include:

  • Scalability Analysis of WRF on NVIDIA Ampere (2022)

  • Performance Evaluation of AMDKIIT for DFT (2025)

  • Memory Bandwidth Analysis: Xeon Phi vs Xeon (Women in HPC)
    Her work is increasingly cited in scientific literature addressing performance optimization, GPU utilization, and edge computing.

🌍 IMPACT AND INFLUENCE

A respected HPC specialist, Ms. Agrawal has delivered 30+ invited talks and tutorials at India’s top institutions such as IITs, IISERs, and international forums. She contributes to the HPC ecosystem not just through development, but also through education and mentorship, fostering innovation and skill-building among students and researchers.

Her participation in Women in HPC at ISC, Grace Hopper Conference (GHCI), and IEEE and ACM symposiums underscores her advocacy for diversity and excellence in computational sciences.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Ms. Agrawal’s legacy lies in shaping India’s HPC landscape, especially through:

  • Democratizing GPU-based computing

  • Promoting women in scientific computing

  • Championing energy-efficient simulations for societal applications like climate modeling and disaster prediction

Her future endeavors focus on enhancing AI-HPC convergence, cloud-native HPC architectures, and mentor-based innovation programs, ensuring a sustainable pipeline of research talent and technology integration.

 ✅CONCLUSION

Ms. Nisha Agrawal is not only a pioneer in HPC and GPGPU computing but also a dedicated mentor, educator, and researcher. Her two-decade journey from student to Scientist E at C-DAC exemplifies technical brilliance, scientific curiosity, and a vision for inclusive technological growth. Her contributions continue to empower research, education, and innovation across India and beyond.

 🔬NOTABLE PUBLICATION:

Experience with adapting to a software framework for a use-case in computational science

Authors: V.V. Shenoi, V. Venkatesh, Nisha Agrawal.
Journal: Journal of Parallel and Distributed Computing
Year: 2025