Suranjan Panigrahi
Suranjan Panigrahi, Ph.D., MBA
Professor, Electrical and Computer Engineering Technology
spanigr@purdue.edu
765-494-6908Dr. Suranjan Panigrahi is an internationally recognized scholar of engineering & advanced technologies, a real-world solution architect, an innovator, an educator, and a higher-education leader. At present, he is a tenured professor in the Department of Electrical and Computer Engineering Technology, He has comprehensive experience in research, teaching (learning), administration, and outreach.
He has cross-disciplinary training and research expertise in engineering design, artificial intelligent technologies, biological systems, sensors, automation & control, electronics, information technologies and management science (via MBA). At present, he directs a multi-disciplinary research laboratory "Integrated Sensing and Smart Solutions Laboratory" at Purdue University. His research focuses on developing/adapting sensors/sensing, information, and intelligent technologies and their applications for biological applications (including food & agricultural, environmental, as well as health care domains). His group adopts a solution oriented- system-based approach in his research. For example, his group creates/have created smart sensors/ sensing systems, point-of-use field scale devices, and intelligent models for automation, quality control, defect, and contamination detection, as well as safety for different biological applications. He is also skilled in strategic analysis of an application domain (a given process or operation) and adapt or develop appropriate technological solutions while satisfying other critical factors (i.e., economic, social, and other applicable policies/constraints).
He is the lead inventor of three approved U.S. patents (related to field scale quality sensors) that are milestone patents in the field of “precision farming and big data in agriculture.” He is the author/co-author of more than 170 technical papers, publications, book chapters including patents and software. His papers and scholarly contributions have 4392 citations with the h-index of 31 and the i10-index of 59.
Before joining Purdue, he was a full professor (tenured) in both the Colleges of Engineering and Agriculture at North Dakota State University (NDSU), Fargo, USA. He was the founder-director of a multidisciplinary research center “Bio-Imaging and Sensing Center” at NDSU and served as its director for 9 years. During his tenure at NDSU and Purdue. Dr. Panigrahi has launched multiple interdisciplinary projects that created solutions for different critical societal challenges related to agricultural production, precision agriculture, food safety & quality, environmental health, automation, process control, health informatics, and human health & wellness. He has worked with faculty from a variety of departments and disciplines (agronomy, plant breeding, plant pathology, horticulture, entomology, agricultural economics, food science, microbiology, etc). He has also partnered with a variety of stakeholders (including individual growers, processors, commodity grower’s associations, small, medium, and large-scale industrial counter parts, and other research organizations). He has also worked on multiple international projects related to agricultural, food, environmental health applications in European countries, Peru, Nepal, and India.
Dr. Panigrahi has exercised his visionary skills in research & development activities while pioneering technological developments and translations that were 18-20 years ahead of their time. In this process, he has collaborated with researchers, scientists, decision-makers, students, staff and other stakeholders from universities, industries, and private organizations. This has resulted in training post-doctoral associates, technical staff members, graduate (M.S. & Ph.D.) as well as undergraduate students. A total of 47 M.S. and Ph.D. students have successfully graduated under the supervision of Dr. Panigrahi. Another 13 post-doctoral associates have completed their training with Dr. Panigrahi. His ex-post-doctoral associates and ex-Ph.D. students are now working as tenured (as well as tenure track) faculty members in U.S. universities, as technical leaders in industries, and as entrepreneurs. He has also hired (with pay) many undergraduate part-time researchers in his lab to provide the students with hands-on experience while they work on relevant research projects.
Current Research Focus and Thrusts
Our group focuses on three thrusts in research: a) fundamental, b) use-inspired, and c) applied. In the fundamental research domain, we use novel tools to understand the inherent intelligence embedded in the natural and biological systems and we call it “bio-inspired discovery.” Based on our discovery, we engineer novel sensors and sensing systems to solve real-world problems.
Under the use-inspired and applied research, our team focuses on creating smart sensors, sensors-integrated intelligent systems, devices, control system, process analytical technologies, decision support systems/models, and processes for – real world applications in biological systems (including food, agricultural, health care, life science, environment and bio-manufacturing).
Domains of Our Research Thrusts:
- Customized sensor and sensing system, IOT and intelligent system for automation, & quality control, in agricultural, food and biological (life science) sectors including bio-manufacturing and general manufacturing sectors with emphasis on industry 4.0 & 5.0.
- Based on his expertise on photonic sensing (imaging and spectroscopy including NIR, FTIR, Raman, VIS), signal processing, and pattern recognition (i.e. statistical methods, multivariate statistics, chemometrics, and machine learning), his group is also focusing on developing and adapting Process Analytical Technologies (PAT) for real-time monitoring and control of pharmaceutical and related bio-manufacturing processes.
- Design and development of intelligent systems, devices, decision support systems for agricultural production and processing applications including diseases detection in plant, nutrient management, yield prediction of crops and overall sustainability.
- Intelligent portable sensors, devices, and systems for defect & contamination detection in environmental systems including water.
- Design of devices and systems for human and animal health care sector including point-of-care screening/diagnostic system, and assistive devices for enhancing quality of life of people with challenging diseases.
- Intelligent predictive health informatics for risk prediction of critical diseases including diabetes, NAFLD (Non-Alcohol fatty liver disease)/ MASLD (Metabolic Dysfunction-Associated Steatotic Liver Disease) and Out of Hospital Sudden Cardiac Arrest (SCA).
Our Selected Research Accomplishments:
- Dr. Panigrahi and his groups are one of the early pioneers for developing and applying multiple forms of Artificial intelligent and other sensor technologies for a variety of agricultural, food and biological applications. One such application included disease forecasting in wheat using including neural networks. These products have been used for real-world applications that created new knowledge and behaviors among the stakeholders in agricultural and food sectors.
- As the lead inventor, his team was the leading group in creating three milestone inventions (and patents) related to on-the-go determination of quality constituents of crops in the field during harvesting (in late 1990s). These technologies were 18 – 20 years ahead of its time to lay the foundation of platform of advanced technologies for the basis for precision agriculture.
- Dr. Panigrahi and his students created a portable and non-destructive (one of the pioneers – in early 2000) sensor system to assess plant foliage health, its chlorophyll content, and nitrogen status in the field condition.
- Dr. Panigrahi conceived the idea and led the development of an optical imaging system for determination of chemical spray coverage directly on the plant leaves. This was a first technological system for such application (in late 1990s). This system was developed and evaluated in-close collaborations with agricultural extension professionals for a few crops (wheat, and sugar beet).
- Led the development of internet-based E-commerce system for trading of agricultural product across the Atlantic Ocean (between USA and European countries). It consisted of an objective quality evaluation system based on computer vision and virtual reality and this was subsequently integrated with internet. It was a pioneering system at that time (in 1995-96 era - at the time when Amazon was just taking off with the similar concept of e-commerce using internet).
- Adopting a systems-based approach, he and his group created a framework “SWADIN” (Sustainable Solution With Appropriate Technological Development and Innovation) for solving real-world societal issues while operating in a solution-domain, appropriate for a given location or region. Within this SWADIN framework, one of his group’s research thrust focuses on creating technological innovations for water-linked health and wellness that affect people (including elderly populations, mothers, and children) in different countries (including India). In 2013, a bilateral workshop was conducted in Kharagpur, India in collaboration with IIT Kharagpur. Participants from UNICEF, NGO, Government organization also participated (https://docs.lib.purdue.edu/swadin/2013/).
Our Research Approach:
We develop and adapt a system-based solution-oriented approach while integrating human-centered engineering design method. Most of our work focus on creating or developing systems for real-world applications. We use a multiple of sensing and analysis techniques including artificial intelligence (machine learning), automation & control, computer vision and non-visible imaging, information technology, photonic and plasmonic sensing, intelligent modeling, chemical and bio-mimetic sensing, intelligent sensing-based on smart micro- or nano-structured materials.
We also work on bio-mimicking integrated intelligent sensors capable of smell, taste, vision, and touch functionalities in an independent or combined manner. Under the taste functionality, we develop sensors for liquid materials. In nature, biological systems combine smell and taste functionalities to sense and operate in challenging environments. Similarly, we have the capabilities to combine different sensing functionalities to deal with complex situations. We also adopt the “sense & actuate” paradigm to perform desired functions in real-world conditions based on the sensed parameters.
Based on his technical expertise, acquired experience, and successes in creating novel devices, and intelligent models (system) for biological systems (food and agricultural domain), he expanded the scope of his research to solve problems in similar biological systems (human health and wellness). He utilized his transferable research skills to focus on intelligent health informatics, assistive devices, and point-of-care screening as well as decision support systems.
Leadership Philosophy
Dr. Panigrahi follows servant leadership framework. His leadership and management philosophies are found on honesty, humility, ethics, and integrity. He values and practice transparency, accountability, efficiency, and effective communication. He adopts an evidence-based management approach coupled with situation-specific adaptive leadership techniques and shared governance principles. He practices emotional intelligence and the social relational approach to leadership. He believes in engaging the stakeholders while building trust and confidence among them in achieving a given goal. He has proven his ability to be a visionary leader. He can envision the future trends, share those with the stakeholders, and develop pathways to create new opportunities and positive impacts. He believes in creating an eco-system of growth-mindset, collegiality, trust, and collaboration to achieve excellence in fulfilling the mission of the project/assignment. Finally, He is a life-long learner with cognitive flexibility.
Leadership Experience:
Dr. Panigrahi possesses a suite of leadership experience that helps him everyday in his job . As communication a key leadership skill, he trained himself to be certified as an “Advanced Toastmaster – Bronze” and a “Competent Leader” from Toastmasters International, (a well-recognized global organization for promotion of leadership, public speaking, and communication). He started exercising his leadership skills while he was a graduate student at Iowa State University. To promote collaboration and professional collegiality among the graduate students from multiple disciplines housed in an interdisciplinary center, he founded a student club and served as its president. He also served as the “Director of Human Relations” at Iowa State’s Government of Student Body. When he was as assistant professor at Nort Dakota State University, realizing the need, he founded an interdisciplinary research center and served as its director.
He also completed a flagship leadership program for Land-grant university system, ESCOP/ECOP, (now it is called LEAD 21). The potential leaders of the Land Grant University system attend this program. I served as an elected senator in the University senate at NDSU for three years. I also served as the chair of the “Promotion and Tenure” committee of the College of Engineering at North Dakota State University (NDSU). As the graduate coordinator (or chair of the graduate committee) of my associated departments at both the universities – NDSU and Purdue, I have significantly contributed to the growth of the respective programs. I have served as a chair or a co-chair in many academic committees at the university, department, and/or college level- both at NDSU and Purdue. I have also served as office-bearers (President, Vice-president, and Secretary) for multiple national level professional technical committees.
Teaching and Mentoring
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 created 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 courses. He also developed graduate courses related to computer imaging, and biomedical innovations.
He has mentored more than 47 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.
The followings briefly describe several courses that he has already developed and taught over the years. They are:
a) Applied Computer Vision for Sensing and Automation: A graduate course that focuses on how to design and develop a computer imaging system for a given application. It also focuses on the fundamentals and applications of different image processing, image analysis, and pattern recognition methods (including deep learning) for different imaging applications. I conceived the idea and developed this new course.
b) Biomedical Device Design/Innovation: A graduate course that deals with the overall process of innovating medical technologies (ranging from needs finding, needs screening, concept selection, implementation related strategies including regulations, quality management, reimbursement, market, sales etc.). This course largely covers the materials from the book “Biodesign: The Process of Innovating Medical Technologies. Ed: Yock et al., 2015”. Additional concepts on electro-mechanical, optical, and embedded systems are covered along with relevant case studies. I conceived the idea and developed this new course.
c) Linking Research and Development to Innovation – Closing the Gap with Societal Issues: This graduate course focuses on the overall processes, models and strategies for invention, innovation, and entrepreneurial activities to address relevant societal issues. I conceived the idea and developed the course. This course was taught once. However, it was well received by the students.
e) Incubating Technopreneurs for Social Challenges- ItSOL: This was designed as a team- and project-based independent study for multidisciplinary undergraduate students. The goal was to identify pressing societal issues and develop prototypes incorporating innovative and creative solutions. I conceived the idea and offered this course for 2 semesters – as a part of a grant.
f) Advanced Embedded Systems: This undergraduate course covers: i) design principles for developing a rapid prototype of an embedded system (both hardware and software) using the popular ARM architecture, ii) architecture as well as logic for interfacing and programming different input and output (I/O) peripherals and communication protocols, iii) how to use agile project management with SCRUM framework for rapid prototyping a given embedded system. This course has weekly hands-on laboratory exercises to supplement the concepts and theories learned in lecture sections. Moreover, this course has class-project to develop and evaluate an embedded system for a given real-world application. I fully redesigned the course with the latest technological platform.
Professional Service
He has provided his professional service and leadership in a variety of ways at his home universities and in different professional organizations including in the ASABE. He has served as reviewers and associate editors in different professional journals and for other funding agencies like USDA, and NSF. 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. He was an invited examiner for Ph.D. students from Indian Institute of Technology, Kharagpur and University of Manitoba, Canada.
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)