Suranjan Panigrahi
Suranjan Panigrahi, Ph.D., MBA
Professor, Electrical and Computer Engineering Technology
spanigr@purdue.edu
765-494-6908Dr. Suranjan Panigrahi, a professor in the department of Electrical and computer Engineering Technology, has 28 years of comprehensive experience in research, teaching, administration, and outreach. Dr. Panigrahi ‘s research focuses on the development of smart and intelligent system to prevent, detect and manage critical (safety,and wellness) issues in biological systems. He adopts a systems-based approach to develop novel sensor and sensing technology-based smart solutions real world applications. He has cross-disciplinary training and expertise in engineering, biological systems, sensors, electronics, information technologies and management (MBA).
He has successfully innovated multiple technologies for agricultural/ biological food applications. He is the lead inventor of 3 approved U.S. patents (related to field scale quality sensors). He is the author/co-authors of more than 180 technical papers, publications, book chapters including patents and software. His papers and scholarly contributions have 2250 citations with the h-index of 24 and the i10- index of 40. He and his research group were one of the early pioneers (from early 1990) in developing and adapting different forms of artificial intelligent tools and techniques (including expert system, machine learning or artificial neural network, computer vision and other intelligent tools) for a variety of agricultural, food and biological applications. He was the founder/director of an interdisciplinary research center “Bio-imaging and Sensing center” at North Dakota State University for 9 years. In mid-1990’s, Dr. Panigrahi created new field-scale non-destructive sensors to determine the quality of selected agricultural products (protein content of wheat, sugar content of sugar beets) during harvesting. This work resulted in three approved (U.S.A.) patents for Dr. Panigrahi (as the lead inventor) and his colleagues. The developed methods can be modified for sensing other quality parameters. These patents, first of its kind, were more than 15 years ahead of its time. Today, the developed technologies are a part of the sought-after solutions for the digital agriculture revolution.
At present, he directs a mutli-disciplinary research laboratory "Integrated Sensing and Smart Solutions Laboratory" at Purdue University. He and his group are developing smart sensors and sensing systems, intelligent models for automation, quality control, defect and contamination detection, safety, and predictive health informatics applications. They develop and adapt a system-based solution oriented approach while engineering emerging and appropriate technological tools including computer vision and non-visible imaging, machine learning, information technology, photonic and plasmonic sensing, chemical and bio-mimetic sensing, intelligent sensing-based on novel smart and Mirco or nano structured materials.
Some of the current activities involve the development of intelligent models for prediction of specific diseases; development of cost-effective intelligent sensor and information management system for agricultural, food and biological systems; development of novel assistive devices for specific diseases to increase the quality of life of elderly population; development of field-scale sensors to detect heavy metal contamination in water and food systems so as to increase the overall health of people in low resource setting. He is passionate about creating disruptive innovation for critical societal issues. One of his recent research thrusts is to create innovative sustainable solutions for water and food linked health and wellness issues.
Teaching
Dr. Panigrahi has extensive experience in developing, modifying, and teaching different undergraduate and graduate courses. He has taught courses related to machine design, power units, electrical energy applications, basic electronics, innovation, computer vision, embedded systems. . At Purdue., he has crated a new undergraduate course on Applied Computer Vision for Sensing and Automation. He also developed and taught another undergraduate course on "Advanced Embedded Systems" where emphasis is placed on design and development of 32-bit embedded systems. He has also developed and taught graduate coruses He also developed graduate course related to computer imaging, and biomedical innovations.
He has mentored more than 37 graduate students (MS and Ph.D.) and 13 post-doctoral associates (visiting scholars). His past students are employed as either tenure track faculty members in several U.S. universities or are in key technical/ management positions in private companies.
Service:
He has provided his professional service and leadership in a variety of ways at his home universities and also in different professional organizations including in the ASABE. He has served as reviewers and associate editors in different professional journals. He has served in leadership roles in several national level technical committees.He has contributed to many professional organizations including IEEE, ASEE, ASABE, and AAAS. He is a member of two honor societies - Gamma Sigma Delta and Alpha Epsilon honor society.
Education:
Doctor of Philosophy, Iowa State University, Ames.1992.
Major: Agricultural and Biosystems Engineering
Minor: Electrical & Computer Engineering
Master of Business Administration, North Dakota State University, Fargo. 2012.
Master of Engineering, Asian Institute of Technology, Bangkok, Thailand: 1986.
Bachelor of Engineering, Orissa University of Agriculture & Technology, India.1983.
Major: Agricultural Engineering (1st Rank: University Gold medalist)
Certifications:
ESCOP/ACOP Leadership development program graduate, Class 9. June, 2000. Nominated by the Dean’s office in the College of Agriculture at North Dakota State University. This one-year program is organized by the Experiment Station Committee on Organization and Policy/ The Academic Programs (ESCOP/ACOP) Committee on Organization and Policy at the national level. This leadership development program is well recognized by land grant universities in the USA and currently, it is known as Lead 21 leadership development program.
Entrepreneur Certificate. Offered by North Dakota State University, Minot State University, and University of North Dakota. August, 2000.
Faculty Entrepreneurial Learning Academy, Purdue University, West Lafayette, IN. 2010-211.
Competent Leader Certificate. Toastmasters International, April, 2000.
Invited External Examiner, Ph.D. Committee, IIT Kharagpur, 2017.
Invited Reviewer, Promotion of Professor, University of Arkansas, 2016.
Invited speaker, Sustainable food supply chain workshop, Princeton University, 2015.
Researcher of the Year, Department of Electrical and Computer Engineering Technology. Purdue University. 2013.
Invited Speaker. Nanotechnology in Food and Agriculture, Iowa Farm Bureau Economic Summit. 2013.
Faculty Entrepreneurship Academy Leadership Fellow, Purdue University, Fall 2010.
Invited Speaker in the International Annual meeting of American Association of Cereal Chemists, Honolulu, HI. 2008.
Invited seminar speaker. Department of Biological and Agricultural Engineering, Texas A & M University, College Station. TX. 2008 .
Invited external peer reviewer for a faculty for tenure at Iowa State University, Ames, IA. (Department of Veterinary Diagnostic and Production Animal Medicine), 2007.
Chair, Conference Organizing Committee, International Conference on Biological Sensorics held in June 2007, Minneapolis.
Invited Member of Editorial Board, Sensing and Instrumentation for Food Quality and Safety Journal, 2007, Springer, New York.
Invited external reviewer for a faculty (for promotion from Assistant to Associate Professor) in the Department of Food, Agricultural & Biological Engineering, The Ohio State University, 2004.
Invited external Ph.D. examiner, Dept. of Agricultural & Biosystems Engineering, Univ. of Manitoba, Canada. 2002.
Invited speaker, Physics Department, University of North Dakota, Grand Forks, ND. The presentation topic was “Emerging technologies for Bioscience research & development at universities”. 2002.
Was selected as a Peer review Teaching Fellow, NDSU 2002-2003
Second co-author. ASAE IET Division Superior Paper Award. 2003.(directed research).
Academic advisor of three Ph.D. graduate students who won the Best Graduate Researcher Awards in the College of Engineering and Architecture, 2001-2004.
ESCOP/ACOP leadership development program graduate, 2000.
Competent Leader, Toastmasters International, 2000.
Was invited as an external reviewer to review research program on sensors/decisions support system of University Research Consortium at the Idaho National Engineering Lab, Idaho. Moscow. 1999.
Advanced Toastmasters Bronze. Toastmasters International, 1998.
Awarded, Researcher of the Year, College of Engineering & Architecture. 1997-1998.
Guest Editor. “AI Applications in Biology and Agriculture” A special issue of the international refereed journal “AI Review”. Kluwer Academic Publishers. 1997.
Associate Editor, ASAE/Food Processing & Engineering Institute. 1998- 2002.
Associate Editor, Information and Emerging Technology Division of ASABE, 2000 – 2009.
Was invited by sunflower research team to present a research seminar on non-destructive sensing techniques for determining fatty acid profile of confection sunflower, November, 1997. NDSU. Fargo.
Was invited to present a research presentation on computer vision in the Graduate Seminar class in the Department of Industrial Engineering, NDSU. November 1997.
Host of 7 visiting faculty/scientists from China, Poland, Korea and India.
Served as a judge in reviewing selected refereed articles published in the Transactions of the ASAE for FPEI/ASAE award. 1993. (FPEI/ASAE award is prestigious award given to the individual (s) for outstanding research work as evidenced by the refereed publication).
International Who’s Who of Professionals. 1997. Jacksonville, NC.
Marquis Who’s Who in Science and Engineering. 1997. New Providence, NJ.
Panel member. 12th Annual Winter Conference on Sustainable Agriculture Northern Plains Sustainable Agriculture Society. Jan 31. 1993. Jamestown. ND.
Was invited by NSF (Bioengineering Program) to participate in one-day Food Engineering Workshop in Washington, D.C. for determining future research directions of Food Engineering Program. I represented the sensors, rapid monitoring, and automation and control aspects of the program. 1996.
Director, Human Relations, Government of the Student Body, Iowa State University, 1990.
President, Seed Science Club, Iowa State University, 1990 -91.
Member, Gamma Sigma Delta Honorary Society for Agricultural Sciences, 1989 - present.
Member, Alpha Epsilon Honor Society for Agricultural Engineering, 1991 – present.
Recipient of Royal Norwegian Govt. Scholarship (January 1985 through August 1986) to continue Masters program at Asian Institute of Technology, Bangkok, Thailand.
Gold Medal, Best Agricultural Engineering Graduate, College of Agricultural Engineering, Orissa, India, 1983.
National Scholarship from Govt. of India, 1977 - 83.
N. Satpathy Memorial Award for Academic Excellence, 1977.
Editor/Book Chapters
Panigrahi, S. 2018. Sustainable solution with Appropriate Technological Development and Innovation (SWADIN) workshop proceeding: Multidimensional Technological Innovations for Water-linked Health & Wellness. Purdue Press. In Press.
Panigrahi, S. and K. C. Ting. (Editors) 1998. Artificial Intelligence for Biology and Agriculture. Artificial Intelligence Review: An International Survey and Tutorial Journal. Vol.12. Nos. 1-3. February. 262 pages. Kluwer Academic Publisher. MA. ISSN NO. 0269-2821.
Panigrahi, S. and S. Gunasekaran. 2000. Optical Imaging and Sensing Techniques for Nondestructive Sensing of Food Products. In : Nondestructive Food Evaluation: Techniques to Analyze Properties and Quality. Marcel Dekker Inc. NY.
Gunasekaran, S . and S. Panigrahi. 2000. Fluorescence Techniques for quality evaluation of Food Products. In Nondestructive Food Evaluation: Techniques to Analyze Properties and Quality. Marcel Dekker Inc. NY.
Schmoldt, D. and S. Panigrahi. 2008. “Biological Sensorics”: A special issue of the peer-reviewed journal “Biological Engineering”. Vol. 1, No. 2. May. (This special issue contained selected peer-reviewed papers that were presented at the International Biological Sensorics Conference that was held in 2007 at Minneapolis. I conceived the idea and was the lead co-organizer of the conference.)
Patents
Panigrahi, S and Q. Zhang. 2005. Optical Analyzer for grain. US Patent 6,845,326 B1 January 2005 (Conceived the idea, directed the research. I get 90% of the inventorship).
Panigrahi, S and Hofman, V. 2003. On-the-go sugar sensor for determining sugar content of sugar beets during harvesting- Part- 1 (hardware) US Patent No. 6,624,888 B2 issued Sept. 2003. (Conceived the idea; directed research. Most of the work and systems development was my contribution)
Panigrahi, S and Hofman, V. 2005. On-the-go sugar sensor for determining sugar content of sugar beets during harvesting - Part- II (Software) US Patent 6,851,662 B1 February 2005. (Conceived the idea; directed research. All most all the work on the software and algorithm development were my contribution).
Refereed Publications - Selected
Borhan, M., S. Panigrahi, M. A. Sattar and H. Gu. 2017. Evaluation of computer imaging techniques for predicting SPAD reading in potato leaves. Information Processing in Agriculture. 4(4): 275-282.
Mohapatra, P., S. Panigrahi* and J. Amamcharla. 2015. Evaluation of a commercial electronic nose system coupled with universal gas sensing chamber for sensing indicator compounds associated with meat safety. J. Food Measurement and Characterization. 9(2): 121-129.
Mohapatra, P. and S. Panigrahi*. 2012. Evaluation of surface enhanced Raman spectroscopy for detection of Acetone in the context of food safety and quality application. Journal of Food Research. 1(1):3-12.
Sankaran, S, L. Khot and S. Panigrahi. 2012.Biology and applications of olfactory sensing systems. A review. Sensors and Actuators B, 171-172. 1- 17.
Panigrahi, S*., S. Sankaran, S. Mallik, B. Gaddam and A. Hanson. 2012. Olfactory receptor-based polypeptide sensor for acetic acid VOC detection. In: Materials Science and Engineering C. 32: 1307-1313.
Khot, L.,S. Panigrahi*, C. Doetkott, Y. Chang, J. Glower, J. Amamcharla, C. Logue and J. Sherwood. 2012. Evaluation of technique to overcome small dataset problems during neural-network based contamination classification of packaged beef using integrated olfactory sensor system. LWT – Food Science and Technology. Vol. 45. 233-240.
Balasubramanian, S, J. K. Amamcharla, S. Panigrahi, C. M. Logue. , M. Marchello, and J. Sherwood. 2012. Investigation of different gas-sensor-based artificial olfactory systems for screening Salmonella typhimurium contamination in beef. Food and Bioprocess Technology. 5(4): 1206-1219.
Sankaran, S and S. Panigrahi*. 2012. Investigation on ZnO-Fe2O3 based nanocomposite sensors for butanol detection related to food contamination. Journal of Nanoscience and Nanotechnology. 12: 2346-2352.
Sankaran, S, and S. Panigrahi*. 2011. Nanoparticulate zinc oxide chemoresistive sensor for volatile acetic acid detection. Journal of Nanosciene Nanotechnology Letters. 3, 755-762.
Gautam, R. S. Panigrahi., D. Franzen, and A. Sims. 2011. Residual soil nitrate prediction from imagery and non-imagery information using neural network technique. Biosystems Engineering. 110. 210-226.
Khot, L., S. Panigrahi*. D. Lin. 2011. Development and evaluation of piezoelectric polymer thin film sensors for low concentration detection of volatile organic compounds related to food safety applications. Sensors and Actuator B: Chemical. 153:1-10.
Sankaran, S., S. Panigrahi, S. Mallik. 2011. Odor binding protein-based biomimetic sensor for detection of alcohols associated with Salmonella contamination in packaged beef. Biosensors and Bioelectronics. 26(2011)3103-3109.
Sankaran, S., S. Panigrahi, S. Mallik. 2011. Olfactory receptor-based piezo electric biosensors for detection of alcohols related to food safety applications. Sensors and Actuator B: Chemical. 155(1): 8-18.
Amamcharla, J., S. Panigrahi. 2010. Application of vapor-phase Fourier transform infrared spectroscopy (FT-IR) and statistical feature selection methods for indentifying S. Typhimurium contamination in beef. Biosystems Engineering. 107(1):1-9.
Amamcharla, J., S. Panigrahi, C. Logue, M. Marchello, and J. Sherwood. 2010. Fourier Transform Infrared Spectroscopy (FTIR) as a tool for discriminating Salmonella typhimurium contaminated beef. Sensing and Instrumentation for Food Quality and Safety. Vol. 4: 10-12. (Conceived the original idea, directed research work)
Bhattacharjee, P., S. Panigrahi, D. Lin, C. Logue, J. Sherwood, M. Marchello. 2010. A comparative qualitative study of the profile of volatile organic compounds associated with Salmonella contamination of packaged aged and fresh beef by HS-SPME/GC-MS. Journal of Food Science and Technology. 1(11):11-13.
Bhattacharjee, P., S. Panigrahi, D. Lin, C. M. Logue, J. S. Sherwood, C. Doetkott, and M. Marchello. 2010. Study of headspace gases associated with Salmonella contamination of sterile beef in vials using HS-SPME/GC-MS. Transaction of the ASABE. 53(1): 173-182.
Amamcharla, J. and S. Panigrahi. 2010. Simultaneous prediction of acetic acid/ethanol concentrations in their binary mixtures using metalloporphyrin based opto-electronic nose for meat safety applications. Sensing and Instrumentation for Food Quality and Safety. 4: 51-60.
Khot, L., S. Panigrahi, and P. Sengupta. 2010. Development and evaluation of chemoresistive polymer sensors for low concentration detection of volatile organic compounds related to food safety applications. Sensing and Instrumentation for Food Quality and Safety. Vol. 4 (1): 20 - 34.
Balasubramanian, S., S. Panigrahi, C. Logue, H. Gu, and M. Marchello.2009. Neural networks-integrated metal oxide-based artificial olfactory system for meat spoilage identification. Journal of Food Engineering. 91:91-98.
Khot, L., S. Panigrahi, and S. Woznica. 2008. Neural-network-based classification of meat: Evaluation of techniques to overcome small dataset. Biological Engineering. 1(2): 127-143.
Balasubramanian, S., and S. Panigrahi, C. Logue, C. Doetkott, and M. Marchello. 2008. Independent component analysis-processed electronic nose data for predicting Salmonella typhirium population in contaminated beef. Food Control. 19. 236-240.
Halley, S., G. Van Ee, V. Hofman, S. Panigrahi, and H. Gu. 2008. Fungicide deposition measurement by spray volume, drop size and sprayer system in cereal grains. Applied Engineering in Agriculture. 24(1): 15-21.
Gautam, R, and S. Panigrahi. 2007. Leaf nitrogen determination of corn plant using aerial images and artificial neural networks. 49. Canadian J. of Biosystems Engineering.
S. Balasubramanian, S. Panigrahi, B. Kottapalli, and C. Wolf-Hall. 2007. Evaluation of an artificial olfactory system for grain quality discrimination. LWT Food Science and Technology. 40. 1815-1825.
Gautam, R. S. Panigrahi, and D. Franzen. 2006. Neural network optimization of remotely sensed maize leaf nitrogen with a genetic algorithm and linear programming using five performance parameters. Biosystems Engineering, 95(3): 359-370.
S. Panigrahi, S. Balasubramanian, H. Gu, C. Logue, and M. Marchello. 2006. Design and Development of a metal oxide based electronic nose for spoilage classification of beef. Sensors and Actuators- B. 119. 2-14.
S. Panigrahi, S. Balasubramanian, H. Gu , C. Logue, and M. Marchello. 2006. Neural network integrated electronic nose system for spoilage identification of beef. Food Science and Technology/LWT. 39; 135-145.
D.C. Doehlert, M.S. McMullen, J.L. Jannink, S. Panigrahi, H. Gu, and N. R. Riveland. 2005. Bimodal Model for Oat Kernel Size Distributions. Canadian Journal of Plant Science. 85: 317-326.
Balasubramanian, S. S. Panigrahi, C. M. Logue, M. Marchello, and J.S. Sherwood. 2005. Identification of Salmonella inoculated beef using a portable electronic nose system. Journal of Rapid Methods and Automation in Microbiology. 13:71-95.
Balasubramanian, S., S.Panigrahi, C.Logue, M. Marchello, C. Doetkott, H. Gu, J. Sherwood, and L. Nolan. 2004. Spoilage identification of beef using an electronic system. Transactions of the ASAE. 47(5):1625-1633.
Borhan, M.S, S. Panigrahi, J. H. Lorenzen, and H. Gu. 2004. Multispectral and color imaging techniques for nitrate and chlorophyll determination of potato leaves in a controlled environment. Transactions of the ASAE. 47(2):599-608.
Hong, Y, and S. Panigrahi. 2004. Image Processing techniques for processing of French fries. Applied Engineering in Agriculture 20(6): 803-811.
Doehlert, D.C., McMullen, M.S., Jannink, J-L., Panigrahi, S., Gu, H., and Riveland, N. 2004.Evaluation of oat kernel size uniformity. Crop Science 44:1178-1186.
Doehlert, D.C., McMullen, M.S., Jannink, J-L., Panigrahi, S., Gu, H., and Riveland, N. 2004. Influence of oat kernel size and size distributions of test weight. Cereal Research Communications. Vol. 32 (1):135-142.
Gautam, R, and S. Panigrahi. 2003. Image processing techniques and neural network models for predicting plant nitrate using aerial images. Proceedings of the 2003 IEEE International Joint Conference on Neural Networks. Portland. Oregon. July 20-24. 2003.(Referred)
Chtioui, Y, S. Panigrahi, and L. Backer. 2003. Self-organizing map combined with a fuzzy clustering for color image segmentation of edible beans. Transactions of the ASAE. 46(3):831-838.
Borhan, M.S., S. Panigrahi, J. Lorenzen, and H. Gu. 2003. Evaluation of Multi-spectral Imaging Techniques to predict Chlorophyll and Nitrogen status of potato leaves in the field. Journal of South Pacific Agriculture. Vol.8(1): 31-36.
Zhang, Q, S. Panigrahi, S. Panda, and M. Borhan. 2002. Techniques for yield prediction for corn aerial images-A neural network approach. Journal of Agricultural and Biosystems Engineering. Vol. 3(1): 18-28.
Software/Computer Programs
Lund, S., S. Panigrahi, L. Schaper, D. Wiesenborn, and P. Orr. 1999. FrybleMax: A prototype expert system. A computer software.
Chtioui, Y, S. Panigrahi, and L. Francl. 1999. Neuro-regress. An interactive computer software for selected parametric and non-parametric (including neural networks) for chemometrics and prediction.
Chtioui, Y, and S. Panigrahi. 1999. Neuro-recognition. An interactive computer software for selected neural networks for classification and prediction.
Popular Press Release/News Articles Based on My Research
Sniffing out pathogens. Food Technology. March 2008. p.66-68. Interviewed by Neil H. Mermeistein.
Computer Imaging Gives New Look At Spray Pattern, 1998. Interview by Tom Jirik. Agricultural Communication for News For North Dakotans.
Photonics Spectra. 1995. French Fried Photonics Interview by Stephanie A. Weiss. Photonics Spectra News Editor. January 29. (Photonics Spectra is an International magazine covering advancements of optics, lasers, fiber optics, electro-optics, imaging and optical computing with more than 92,000 distributions all over the world).
AURI Ag Innovations. July, 1994. Mechanized Harvest Could Boost Minnesota Broccoli. AURI. Minnesota.
Computer Role Increasing In Many Farm Decisions. 1993. Interview by M. Wheeler. The Forum. February 4. Fargo. (The Forum is the local daily newspaper
Workshops/Training Conducted (Presenter/Co-presenter)
Panigrahi, S. 2018. A Systems-based approach for designing field scale environemntal monitoring system: specific focus on heavy metal contamination in water. A workshop presented at the Purdue UNSA Arequipa Nexus Institute Workshop. August 2018. Purdue Univeristy, West Lafayette, IN.
Panigrahi, S., and P. Das. 2002. Fundamentals of database and data mining techniques for agricultural applications. 1 One-day continuing Professional Development Session #9. International ASAE Annual conference at Chicago, July 28, 2002.
Marsh, R., and S. Panigrahi. 1997. Overview of parallel virtual machine (PVM) and its use for efficient image processing of beans. NDSU. Fargo. Presented at the Continuing Professional Development Series Parallel Processing and its Application for Image Processing-CPD#4". International ASAE Annual Conference. August 10, Minneapolis, MN.
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Proceedings - Selected
Panigrahi, S. 2016. A systems-based approach and analysis for water-linked health and wellness in low resource setting. In: SWADIN workshop proceeding: Multidimensional Technological Innovations for Water-linked Health & Wellness workshop held in India, March 2013. Purdue Press.
Panigrahi, S. 2012. Analysis and overview of techniques to incorporate innovation in undergraduate curriculum in electrical engineering technology. Proceeding of the ASEE IL-IN section conference, Valparaiso University. March 2012.
Panigrahi, S and K. Burbank. 2012. A strategic analysis of graduate programs in Engineering Technology. ASEE Annual conference proceedings. San Anatonio. TX. June 2012.
Panigrahi,S., Y. Chang, L. Khot, J. Glower, and C. Logue.2008. Integarted electronic nose system for detection of Salmonella contamination in meat. SAS 2008. IEEE Sensors Applications Symposium. Atlanta. Feb. 12-14, 2008. (refered).
Panigrahi, S. 2006. Teaching and Student Learning in Graduate Education: A Compartive Analysis. Proceedings of the ASEE, North Midwest Sectional Conference. October 6-7. University of Wisconsin-Stout. WI..
Panigrahi, S., X. Yan, R. Gautam, and D. Franzen. 2003. Automated Color Assessment and Classification of Remotely Sensed Images of Crops. Proceedings of the 30th International Symposium on Remote Sensing of Environment: Information for Risk management and sustainable Development. November 10-14. Honolulu. Hawaii.
Gautam.,R., S. Panigrahi, and D. Franzen. 2003. Comparative Analysis of Different Techniques for Predicting Soil Nitrate Using Remote Sensing Images. Proceedings of the 30th International Symposium on Remote Sensing of Environment: Information for Risk management and sustainable Development. November 10-14. Honolulu, Hawaii.
Invited Presentations
Panigrahi, S. 2015. Challenges and opportunities: sensors and intelligent systems for food supply chain. Sustainable Food Supply Chain Workshop, Princeton University, March 16.-17.
Panigrahi, S. 2013. Nanotechnology in food and agriculture. Iowa Farm Bureau Economic Summit. Ames, IA, July 22-23.
Panigrahi, S. 2008. Potential and applications of advanced imaging and sensing techniques for cereal grain process. International American Cereal Chemists Annual Meeting. Honolulu. HI. September 21-24.
Panigrahi, S. 2006. Opportunities for engineers. EMBS (Engineering in Medicine and Biology Society) of IEEE Student Branch club. NDSU. Fargo. November.
Panigrahi, S. 2005. Emerging technologies for agri-bio applications. Invited departmental seminar talk at the department of Animal and Range Sciences, NDSU. February.
Panigrahi. S. 2002. Emerging technologies for bioscience research and development at universities. Invited talk at the department of Physics, University of North Dakota, Grand Forks, ND. December 13. 2002.
Panigrahi, S. 1998. Experiences on using portable spectrometers for real-time measurements of agricultural products. Invited technical oral presentation during the 37th Annual Eastern Analytical Symposium and Exposition. Garden State Convention Center. Somerset. NJ. November 15-20.
Panigrahi, S. 1997. Computer vision research: Potential and accomplishment. Industrial Engineering Graduate Seminar. NDSU. Fall, 1997.
Panigrahi, S. 1997. Non-destructive sensing techniques for fatty acid profiles of confection sunflower. Sunflower research group meeting of NDSU/USDA/local sunflower processors. USDA building. Fall, 1997.
Panigrahi, S (Panel member). 1993. 12th Annual Winter conference on Sustainable Agriculture Sponsored by Northern Plains Sustainable Agriculture Society. January 31, 1993. Jamestown, ND.
Professional Affiliations:
Member of The American Society of Engineering Education (ASEE)
Member of the American Society of Agricultural and Biological Engineers (ASABE)
Member of the American Association of the Advancement of Science (AAAS)