Research and Development Cell - MITS-Best Biotechnology,BCA College in Bhubaneswar,Odisha

The MITS School of Biotechnology plays a crucial role in nurturing a robust research culture across various fields, including biotechnology and computer science. It supports faculty and student research projects, facilitates funded initiatives, upholds ethical research standards, and promotes collaborations with national and international institutions. Through training, guidance, and resources, the centre encourages innovation, scholarly achievements, and practical applications.

🧪 Research Monitoring Committee (RMC)

The Research Monitoring Committee (RMC) of MSB, reconstituted in accordance with prior circular LCE/R&D/CIR-1/2018-19, is dedicated to promoting and supervising the institution’s research and development initiatives. Governed by MSB’s vision of fostering innovation, academic excellence, and industry collaboration, the RMC plays a pivotal role in shaping research culture at the college.

🔸 Responsibilities of the Research Monitoring Committee

Strategic Planning & SOP Formulation
- Define short- and long-term goals for R&D.
- Draft and submit a Standard Operating Procedure (SOP) for institutional research activities.
Monitoring Research Outputs
- Ensure steady growth in faculty and student publications.
- Track performance against NAAC/UGC/Scopus benchmarks.
Promotion of Student Research
- Encourage participation in internships, research projects, and MOOC programs.
- Supervise UG/PG dissertation/project work.
Information Dissemination
- Circulate updates on conferences, journals, funding calls, and workshops.
- Publish newsletters, brochures, and web alerts.
Faculty Development & Mentorship
- Facilitate participation in FDPs, national/international conferences, and skill development workshops.
- Organize research orientation sessions with industry and academic experts.
Stakeholder Engagement & Feedback
- Collect and act on inputs from departments, alumni, recruiters, and the Training & Placement Cell.
- Submit feedback reports to the Head of Institution every semester.
Culture Building
- Foster a healthy, competitive research environment.
- Recognize and reward quality research initiatives.

📈 Goal

To transform MSB into a hub of interdisciplinary research excellence, producing impactful innovations and contributing meaningfully to the scientific and academic community.

Dr. R.R. Mishra
Associate Professor & Head, Department of Biotechnology
Role: Coordinator
Dr. Tapaswini Nayak
Head, Department of Computer Science
Role: Member
Dr. Subrat Kumar Kar
Associate Professor
Role: Member

Will update soon

WORKSHOPS/ SEMINAR/ FDP PROGRAMME

Sl. No.	Name of the workshop/seminar	Number of Participants	Date	Resource Person with Designation
1	A One-day Workshop on ‘Live Project Based Practical Training’	54	21-09-2024	Mr. Pravat Mohapatra Director Gini Skills Bhubaneswar
2	A One Day Seminar on ” Fish and Fisheries of India: An Overview “	46	25/11/2024	Prof. Damodar Satpathy Former Director, College of Fisheries Odisha, Bhubaneswar
3	A One Day Workshop on “Funding and Financial Strategies for Biotech Ventures”	49	16/01/2025	Dr. Chitta Ranjan Sahoo Post Doctoral Fellow, ICMR Cenetary College of Fisheries Odisha, Bhubaneswar

ORGANISED FACULTY DEVELOPMENT PROGRAMMES

Sl. No.	FDP TITLE	DATE	NO OF PARTICIPANTS
1	DNA barcoding and its application in Biotechnology	22-06-2024 to 29-06-2024	72
2	Next Generation Molecular Diagnostics for Pathogens and Cancer detection	25-03-2025 to 29-03-2025	98

Download MSc Dissertation 23-25

Download MSc Dissertation 21–23

Download MSc Dissertation 20–22

Academic Year 2025–26

Rao, M. S., Tiwari, A., Sethi, D., Dash, T., Sankaran, K. J., & Sakthivel, R. (July 2025). Effect of various carbon supports for TiO2 and N-doped TiO2 photocatalysts for inactivation of Escherichia coli in water under UV–visible light. J. Photochem. Photobiol. B: Biol., 268:113180. https://doi.org/10.1016/j.jphotobiol.2025.113180.
Sahoo, S., Sahu, A., Sahoo, R.K., Gaur, M., Bhanjadeo, D., & Subudhi, E. (July 2025). Environmental trafficking of superbug carbapenem-resistant Klebsiella pneumoniae and its silent spread in an urban population: a sewage-based study. Environ. Sci. Eur., 37:132. https://doi.org/10.1186/s12302-025-01187-6.
Pradhan, B., Mallick, S. N., Das, P. K., Kar, S. K., Pradhan, M., Mishra, M., Sethi, D. P., & Tripathy, P. K. (Aug 2025). Patent AI-POWERED PLANT MORPHOLOGICAL STUDY DEVICE. Indian Patent Office, Design No.- 458612-001.
Tapaswini Nayak & Bhagyashree Patra. (Oct 2025). Detection and Classification of Corals from Under-Sea Images using Deep Learning. International Journal For Multidisciplinary Research, 7(5). https://doi.org/10.36948/ijfmr.2025.v07i05.59219.
Behera, B., Pati, S., Rout, B., Sahoo, S., Swain, A., Sahoo, R.K. and Panigrahy, R. (Nov 2025). Genomic insights into novel ST7947 carbapenem-resistant hypervirulent Klebsiella pneumoniae: a threat from an Indian hospital setting. Ann. Clin. Microbiol. Antimicrob., 24:64. https://doi.org/10.1186/s12941-025-00834-3.
Panda, G.K., Tripathy, B. K. (2026): Hybrid computational intelligence techniques for environmental hazard prediction and risk management. In: S Bhattacharyya, J. Platos, S. Dhar, N K Mondal, I Zelinka, J. S. Banerjee, A. Das (eds.) Data Driven Environmental Intelligence, CRC Press. Ch.2, pp.28-65. https://doi.org/10.1201/9781003545743-2.
Kar, S. K., Mishra, M., Sethi, D. P., Sahoo, T., Pradhan, M., Bal, P., Pattnaik, S. K., & Pradhan, B. (Jan 2026). Patent PLANT BIOMOLECULE DETECTION KIT. Indian Patent Office, Design No.- 479015-001.
Tripathy, B.K., Panda, G.K. (2026): Integrating Sanskrit Epistemology with xAI for Trustworthy Metaverse Systems. In: J. M. Chatterjee, P. Lingras, R. Samikannu & S. Radhakrishnan (Eds.) Democratizing the Metaverse: Accessibility, Inclusivity and Human-Centric Innovation, pp. 261-296, IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-6721-7.ch009.
Panda, G. K., Pradhan, S., Tripathy, B.K., Mishra D. (2026): Intelligent Malware Analysis and Privacy-Enhanced IoT Security using ML and DL Techniques. In: B.K. Tripathy and J. Anuradha (eds) Internet of Things (IoT) Technologies, Applications, Challenges and Solutions, 2nd Edition, CRC Press.
Panda, G.K., Tripathy, B. K. (2026): Advancing Smart Education Through Multimodal LLMs: Research Gaps, Methods and Scalable Algorithmic Innovations. B K Mishra, P Chatterjee, M R Patra (Eds.), ISTE, Natural Language Processing Methodologies: Emerging Techniques and Applied Perspectives.
Bhagyashree Patra, Shrutirekha Srichandan and Nibedita Adhikari. (March 2026). Tetrahedral Crossed Cube: A Scalable and Cost-Effective Interconnection Architecture for High-Performance Parallel Computing. 2nd International Conference on Emerging Technologies and Computing Innovations (ICETCI-2026).
Samantaray, B., Mishra, R. R., Mohapatra, S., Rath, S., Behera, B. C., & Thatoi, H. (May 2026). Optimization of pretreatment and enzymatic hydrolysis using commercial and isolated bacterial enzyme cocktail for bioethanol production from corn husk through yeast co-culture batch fermentation. Bioresources and Bioprocessing, 13:69. https://doi.org/10.1186/s40643-026-01062-z.
Behera, R. (2025). Computational classification of thermophilic and mesophilic proteins based on structural properties. In: Satpathy R (Ed.), Prospects and Applications in Biotechnology and Bioscience. Urania Publishing House, pp. 66–75.

Academic Year 2024–25

Tripathy, B. K., Panda, G. K., & Sahu, A. (April 2024). An in-depth analysis of cyber-physical systems: Deep machine intelligence based security mitigations. In J. Nayak, B. Naik, V. S., & M. Favorskaya (Eds.), Machine learning for cyber physical system: Advances and challenges (Intelligent Systems Reference Library, Vol. 60). Springer, Cham. https://doi.org/10.1007/978-3-031-54038-7_2.
Panda, G. K., Mishra, D., & Nayak, S. (July 2024). Comprehensive study on social trust with XAI: Techniques, evaluation and future directions. In B. K. Tripathy & H. Seetha (Eds.), Explainable, interpretable and transparent AI systems (Chap. 10). CRC Press, Taylor & Francis Group. https://doi.org/10.1201/9781003442509.
Samantaray, B., Mohapatra, S., Mishra, R. R., Behera, B. C., & Thatoi, H. (Sept 2023). Bioethanol production from agro-wastes: Comprehensive review with a focus on pretreatment, enzymatic hydrolysis, and fermentation. International Journal of Green Energy, 21(6), 1398–1424. https://doi.org/10.1080/15435075.2023.2253871.
Samantaray, B., Behera, R. R., Mishra, R. R., & Thatoi, H. N. (Dec 2023). In silico studies of fungal xylanase enzymes: Structural and functional insight towards efficient biodegradation of lignocellulosic biomass. Systems Microbiology and Biomanufacturing, 4(3), 1174–1192. https://doi.org/10.1007/s43393-024-00174-6.
Samantaray, B., Mohapatra, S., Pradhan, B., Behera, B. C., Mishra, R. R., & Thatoi, H. N. (Nov 2024). Utilization of cotton stalks waste for sustainable isopropanol production via hydrolysis and coculture fermentation. International Biodeterioration & Biodegradation, 195, 105908. https://doi.org/10.1016/j.ibiod.2024.105908.
Swain, P. P., Sahoo, S., Behera, B., Behera, D. U., Subudhi, E., & Sahoo, R. K. (Oct 2024). Characterization of colistin-resistant carbapenemase producing Klebsiella pneumoniae in a river receiving wastewater treatment plant effluent. Letters in Applied Microbiology. https://doi.org/10.1093/lambio/ovae090.
Parwin, N., Dixit, S., Sahoo, S., Sahoo, R. K., & Subudhi, E. (May 2024). Assessment of the surface water quality and primary health risk in urban wastewater and its receiving river Kathajodi, Cuttack of eastern India. Environmental Monitoring and Assessment, 196(6), 551. https://doi.org/10.1007/s10661-024-12683-2.
Sahoo, M., Behera, D. U., Sahoo, R. K., Sahoo, S., Dey, S., & Subudhi, E. (Mar 2024). Synergistic action of 6-gingerol as an adjuvant to colistin for susceptibility enhancement in multidrug-resistant Klebsiella pneumoniae isolates. RSC Advances, 14(11), 7779–7785. https://doi.org/10.1039/D3RA07835C.
Panda, G. K., & Tripathy, B. K. (2025). Hybrid computational intelligence techniques for environmental hazard prediction and risk management. In S. Bhattacharyya, J. Platos, S. Dhar, N. K. Mondal, I. Zelinka, J. S. Banerjee, & A. Das (Eds.), Data driven environmental intelligence (pp. 28–65). CRC Press. https://doi.org/10.1201/9781003545743-2.
Chattaraj, S., Ganguly, A., Mitra, D., Rath, S., Sahoo, S. S., Nayak, R., Mishra, R. R., & Thatoi, H. N. (Oct 2025). Frontiers on the application of cellulase in aquaculture: Future prospects and challenges. 3 Biotech, 15, 399. https://doi.org/10.1007/s13205-025-03999-7.
Thatoi, H. N., Chattaraj, S., Mishra, R. R., Das Mohapatra, P. K., & Mohapatra, S. (Jan 2025). Contributions of biotechnology industries of India to global bioeconomy: An overview. 3 Biotech, 15, 46. https://doi.org/10.1007/s13205-024-03946-0.
Satpathy, R., Padhan, P., Behera, R., & Ratha, J. (2025). Investigating the endocrine disruption potential of sclareol through docking and molecular dynamics simulation methods. Mathematical Biology and Bioinformatics, 20(1), 122–134. https://doi.org/10.17537/2025.20.122.
Singh, R., Das, S., Dash, L., & Kar, S. K. (2025). Role of DNA markers (RFLP, RAPD, SSR) in marker-assisted selection for crop improvement and biotechnology regulation. In Elements of Plant Biotechnology (pp. 107–120). Alphine Publications Pvt. Ltd., Agra, India. Crossref/DOI Link.

Academic Year 2023–24

Ladi, S. K., Panda, G. K., & Tripathy, B. K. (July 2023). Hyperspectral Images: A Succinct Analytical Deep Learning Study. In: Roy, S.S., Hsu, CH., Kagita, V. (eds) Deep Learning Applications in Image Analysis. Studies in Big Data, Vol 129, Springer, Singapore, pp. 149-171. https://doi.org/10.1007/978-981-99-3784-4_8.
Tripathy, B. K., Panda, G. K., & Sahu, A. (2024). An In-Depth Analysis of Cyber-Physical Systems: Deep Machine Intelligence Based Security Mitigations. In: Nayak, J., Naik, B., S, V., Favorskaya, M. (eds) Machine Learning for Cyber Physical System: Advances and Challenges. Intelligent Systems Reference Library, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-031-54038-7_2.
Panda, G. K., Mishra, D., & Nayak, S. (2024). Comprehensive Study on Social Trust with XAI: Techniques, Evaluation and Future Directions. In: B.K. Tripathy, Hari Seetha (eds) Explainable, Interpretable and Transparent AI Systems, CRC Press, Taylor & Francis Group, Ch.10. https://doi.org/10.1201/9781003442509.

Academic Year 2022–23

Sandeep Kumar Ladi, G. K. Panda, Ratnakar Dash & Pradeep Kumar Ladi (Oct 2022). A Novel strategy for classifying spectral-spatial shallow and deep hyperspectral image features using 1D-EWT and 3D-CNN. Earth Science Informatics. Springer Article Link.
Ladi, S. K., Panda, G. K., Dash, R., Ladi, P. K., & Dhupar, R. (2023). A Novel Grey Wolf Optimisation based CNN Classifier for Hyperspectral Image classification. Multimedia Tools and Applications, 81(2022), pp. 28207-28230. https://doi.org/10.1007/s11042-022-12628-2.
G. K. Panda, I. K. Sahu, & D. Sahu. (2022). Effect of Computation and Cognitive Bias in Healthcare Intelligence and Pharmacogenomics. Next Generation Healthcare Informatics, 2022-23. Springer Chapter Link.
Riya Jalan, Biswaranjan Pradhan, Santosh Kumar Singh, Anuradha Das, Rajib Lochan Barik, Jyotisikha Meher, Rashmi Ranjan Mishra, Debasmita Dubey, & Bikash Chandra Behera. (2022). Isolation and Identification of Antibacterial compound from Actinomycetes isolated from Mangrove soil. Research Journal of Pharmacy and Technology. rjptonline.org.
Abhaya Kumar Sahu, Punam Kumari & Bhabatosh Mittra (Jan 2023). Identification of Fusarium-induced stress protein (FISP) in wheat: characterization and localization. Journal of Plant Biochemistry and Biotechnology. Springer Journal Link.

Academic Year 2021–22

Rashmi Ranjan Mishra. Bio-production of alkaline protease by Trichoderma longibrachiatum and Penicillium rubidurum using different agro-industrial products. Novel Research in Microbiology Journal, 01-06-2021. Semantic Scholar Link.
Rashmi Ranjan Mishra. Microbial citric acid: Production, properties, application, and future perspectives. Food Frontiers. Wiley Online Library Link.

Academic Year 2020–21

Indrani Kumari Sahu, G. K. Panda, & Susant Kumar Das. Rough Set Classifications and Performance Analysis in Medical Health Care. Progress in Advanced Computing and Intelligent Engineering, 2020. Springer Series Link.
G. K. Panda. Hyperspectral Image Classification Bi-dimensional Empirical mode Decomposition and Deep Residual Networks. IEEE Xplore Link.
Rashmi Ranjan Mishra. Development of co-culture yeast fermentation for efficient production of biobutanol from rice straw: A useful insight in valorization of agro industrial residues. Bioresource Technology, 2020. ScienceDirect Link.
Rashmi Ranjan Mishra. Process optimization for conversion of Waste Banana peels to biobutanol by A yeast Co-Culture fermentation system. Renewable Energy, 2020. ScienceDirect Link.
Rashmi Ranjan Mishra. Recent biotechnological tools for diagnosis of corona virus disease: A review. Biotechnology Progress, 2020. Wiley Online Library Link.

Academic Year 2019–20

G. K. Panda. Application of Rough Set Theory in Medical Health Care Data Analytics. International Journal of Advanced Science and Technology, 2019. IJAST Link.
G. K. Panda. Hyperspectral Image Classification Using SWT and CNN. 2019. IEEE Xplore Link.
Rashmi Ranjan Mishra. A comparative study of citric acid production from different agro-industrial wastes by Aspergillus niger isolated from mangrove forest soil. Environmental and Experimental Biology, 2019. EEB Link.
Rashmi Ranjan Mishra. A comparative study of citric acid production from different agro-industrial wastes by Aspergillus niger isolated from mangrove forest soil. Environmental and Experimental Biology, 2019. EEB Link.