ADRIJIT GOSWAMI | Computer Science | Research Excellence Award

ADRIJIT GOSWAMI | Computer Science | Research Excellence Award

Indian Institute of Technology Kharagpur India, India

Prof. Dr. Adrijit Goswami is a distinguished academic in Mathematics at the Indian Institute of Technology Kharagpur, specializing in Operations Research and Optimization. He earned his doctorate from Jadavpur University and has extensive teaching and research experience. His interests include supply chain management, fuzzy systems, vehicle routing, cryptography, and data analytics. A recipient of multiple academic honors, he has supervised numerous doctoral scholars and published widely. His work significantly advances mathematical modeling, optimization science, and impactful decision-making research.

Research Metrics (Google Scholar)

8000
6000
4000
2000
0

Citations
7384

h-index
45

i10-index
109

Citations

h-index

i10-index

Featured Publications


A secure biometrics-based multi-server authentication protocol using smart cards

V Odelu, AK Das, A Goswami – IEEE Transactions on Information Forensics and Security
Cited by: 489 · Year: 2015


An EOQ model for deteriorating items with linear time-dependent demand rate and shortages under inflation and time discounting

S Bose, A Goswami, KS Chaudhuri – Journal of the Operational Research Society
Cited by: 354 · Year: 1995


An EOQ model for deteriorating items with shortages and a linear trend in demand

A Goswami, KS Chaudhuri – Journal of the Operational Research Society
Cited by: 343 · Year: 1991


Multiobjective transportation problem with interval cost, source and destination parameters

SK Das, A Goswami, SS Alam – European Journal of Operational Research
Cited by: 281 · Year: 1999


A deterministic inventory model for deteriorating items with stock-dependent demand rate

S Pal, A Goswami, KS Chaudhuri – International Journal of Production Economics
Cited by: 269 · Year: 1993

Rounak Raman | Information Technology | Research Excellence Award

Mr. Rounak Raman | Information Technology | Research Excellence Award

Netaji Subhas University of Technology | India

Rounak Raman is a technology researcher and engineering innovator with a strong academic background in Information Technology and a multidisciplinary portfolio spanning artificial intelligence, machine learning, generative AI, computer vision, IoT systems, wireless sensor networks, and network security. He has gained significant research and development experience through contributions at DRDO-INMAS, where he worked on EEG-based cognitive analytics and neurofeedback systems, and at NSUT, where he designed advanced IoT protocols including energy-aware clustering, trust-based opportunistic communication, and secure hierarchical key-rotation mechanisms. His technical work extends into generative AI solutions, semantic search systems, real-time computer vision applications, and large-scale image and document intelligence models. He has led impactful projects such as PRAGATI smart parking, SyntheX document analysis framework, and QuickTag for AI-driven product taxonomy. His achievements include securing positions in national innovation challenges, hackathons, entrepreneurship competitions, and international fellowship programs. Alongside industry-recognized certifications in data science, system design, and cybersecurity, he has also held leadership roles in student organizations, mentoring teams, guiding open-source contributions, and facilitating research collaboration. His research interests include GenAI, NLP, IoT security, WSNs, cryptography, edge intelligence, and autonomous network optimization. He remains committed to creating scalable, socially impactful technological solutions.

Profiles: Google Scholar

Featured Publication

Raman, R., Yadav, A., Kukreja, D., & Sharma, D. K. (2025). CONTEXT-NET: A context-aware nexus-based aggregation protocol for opportunistic networks. Internet of Things, 101809.

Raman, R., Yadav, A., & Kukreja, D. (2025). ARMor-IoT: Aggregated reliable mechanism for optimized trust in IoT. In International Conference on Artificial Intelligence and Its Application (pp. 229–241).

Asha Durafe | Cyber Security | Best Researcher Award

Dr. Asha Durafe | Cyber Security | Best Researcher Award

Shah & Anchor Kutchhi Engineering College | India

Dr. Asha Vijay Durafe is an accomplished academician and researcher in the field of Electronics and Computer Science. She serves as Head in-charge and Assistant Professor at Shah & Anchor Kutchhi Engineering College, Mumbai. Her professional journey reflects a commitment to teaching, research, and guiding students in emerging technologies such as cyber security, cryptography, power electronics, and communication systems. She has contributed significantly to academic growth through innovative teaching methods, research publications, and syllabus development. Her expertise in intellectual property rights, digital forensics, and machine learning applications has established her as a leading educator and mentor in engineering education.

Professional Profiles

Google Scholar | Orcid | Scopus

Education

Dr. Durafe completed her Bachelor’s degree in Engineering in Electronics with specialization in Data Communication and pursued her Master’s degree in Technology with focus on Digital Communication, Embedded Systems, and Advanced Signal Processing. Her doctoral research was in Cyber Security, particularly steganography using cryptographic techniques, with emphasis on secure data transmission and communication networks. She has consistently excelled in her academic journey, combining strong theoretical knowledge with practical research applications. Through her advanced studies, she has built a strong foundation in areas such as communication systems, wireless technologies, and information security, positioning herself as a competent and innovative researcher.

Professional Experience

Dr. Durafe has extensive experience in academics, with over two decades of teaching and mentoring at Shah & Anchor Kutchhi Engineering College, Mumbai. She has taught a wide range of subjects, including machine learning for cyber security, ethical hacking, digital forensics, cryptography, power electronics, and advanced communication systems. In addition to classroom teaching, she has actively contributed to curriculum design, examination coordination, accreditation processes, and administrative roles. She has guided numerous undergraduate and postgraduate projects and served as a mentor for product development initiatives. Her professional work extends to technical writing, industry collaborations, and training programs for faculty and students.

Awards and Recognition

Dr. Durafe has been recognized for her academic excellence and contributions to research and teaching. She has received awards for best research projects, excellence in faculty research publications, and notable contributions in seminars on cyber security. She has also been honored with prestigious educational awards for her leadership in teaching and research. Her work in digital steganography and cyber security has been acknowledged at both institutional and professional levels. Alongside research, she has delivered invited talks, workshops, and expert sessions, earning appreciation for promoting intellectual property awareness, advanced technologies, and innovative teaching practices within the academic community.

Research Skills

Dr. Durafe’s research expertise spans cryptography, steganography, communication networks, image processing, and cyber security. She has published extensively in reputed international journals and conferences, focusing on secure data transmission, wireless communication, and advanced encryption methods. Her work also integrates artificial intelligence, machine learning, and deep learning techniques with network and data security. She has contributed to developing frameworks in digital forensics, blockchain applications, and secure IoT systems. Her research demonstrates a strong interdisciplinary approach, combining theory with real-world applications. By collaborating with peers and guiding students, she has established herself as a skilled researcher with impactful contributions in engineering.

Notable Publications

Development and analysis of IWT-SVD and DWT-SVD steganography using fractal cover
Author: A Durafe, V Patidar
Journal: Journal of King Saud University-Computer and Information Sciences
Year: 2022
Citations: 45

A Review Paper on Internet of Things (IoT) and its Applications
Author: MAD Mrs. Sarika A. Korade, Dr. Vinit Kotak
Journal: International Research Journal of Engineering and Technology (IRJET)
Year: 2019
Citations: 35*

Image steganography using fractal cover and combined chaos-DNA based encryption
Author: A Durafe, V Patidar
Journal: Annals of Data Science
Year: 2024
Citations: 10

Securing the COVID patients’ medical records using encrypted image steganography
Author: A Durafe, V Patidar
Journal: ICT Systems and Sustainability: Proceedings of ICT4SD 2021, Volume 1
Year: 2022
Citations: 6

An Efficient Lightweight LSB Steganography with deep learning steganalysis
Author: D Das, A Durafe, V Patidar
Journal: Computational Intelligence in Image and Video Processing
Year: 2023
Citations: 5

Conclusion

Dr. Asha Vijay Durafe exemplifies dedication to teaching, research, and innovation in the domain of Electronics and Computer Science. With deep expertise in communication systems, security technologies, and intellectual property, she continues to inspire students and colleagues alike. Her academic journey reflects a commitment to advancing knowledge, mentoring young professionals, and contributing to technological development. Through her research publications, curriculum development, and professional service, she has strengthened academic standards and fostered innovation. She stands as a role model for aspiring educators and researchers, consistently contributing to the growth of engineering education and promoting excellence in her field.